We are focusing on how to Control text-to-image diffusion models with Novel Conditions.
For more detailed information, please refer to our survey paper: Controllable Generation with Text-to-Image Diffusion Models: A Survey
If you find value in our survey paper or curated collection, please consider citing our work and starring our repo to support us.
@article{cao2024controllable,
title={Controllable Generation with Text-to-Image Diffusion Models: A Survey},
author={Pu Cao and Feng Zhou and Qing Song and Lu Yang},
journal={arXiv preprint arXiv:2403.04279},
year={2024}
}
Since the following content is generated based on our database, please provide the following information in the issue to help us fill in the database to add new papers (please do not submit a PR directly).
1. Paper title
2. arXiv ID (if any)
3. Publication status (if any)
- Generation with Specific Condition
- Generation with Multiple Conditions
- Universal Controllable Generation
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models.
Donghao Zhou, Jiancheng Huang, Jinbin Bai, Jiaze Wang, Hao Chen, Guangyong Chen, Xiaowei Hu, Pheng-Ann Heng.
arXiv 2024. [PDF]
PartCraft: Crafting Creative Objects by Parts.
Kam Woh Ng, Xiatian Zhu, Yi-Zhe Song, Tao Xiang.
ECCV 2024. [PDF]
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models.
Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas.
arXiv 2024. [PDF]
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization.
Junjie Shentu, Matthew Watson, Noura Al Moubayed.
arXiv 2024. [PDF]
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance.
Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen.
arXiv 2024. [PDF]
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance.
Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei.
arXiv 2024. [PDF]
User-Friendly Customized Generation with Multi-Modal Prompts.
A, b, s, t, r, a, c, t, , n, o, t, , f, o, u, n, d.
arXiv 2024. [PDF]
Personalized Residuals for Concept-Driven Text-to-Image Generation.
Cusuh Ham, Matthew Fisher, James Hays, Nicholas Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz.
arXiv 2024. [PDF]
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance.
Kelvin C. K. Chan, Yang Zhao, Xuhui Jia, Ming-Hsuan Yang, Huisheng Wang.
arXiv 2024. [PDF]
MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation.
Xujie Zhang, Ente Lin, Xiu Li, Yuxuan Luo, Michael Kampffmeyer, Xin Dong, Xiaodan Liang.
arXiv 2024. [PDF]
Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting.
Weili Zeng, Yichao Yan, Qi Zhu, Zhuo Chen, Pengzhi Chu, Weiming Zhao, Xiaokang Yang.
arXiv 2024. [PDF]
CAT: Contrastive Adapter Training for Personalized Image Generation.
Jae Wan Park, Sang Hyun Park, Jun Young Koh, Junha Lee, Min Song.
arXiv 2024. [PDF]
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation.
Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang.
arXiv 2024. [PDF]
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation.
You Wu, Kean Liu, Xiaoyue Mi, Fan Tang, Juan Cao, Jintao Li.
arXiv 2024. [PDF]
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation.
Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter.
arXiv 2024. [PDF]
Attention Calibration for Disentangled Text-to-Image Personalization.
Yanbing Zhang, Mengping Yang, Qin Zhou, Zhe Wang.
arXiv 2024. [PDF]
Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization.
Jimyeong Kim, Jungwon Park, Wonjong Rhee.
arXiv 2024. [PDF]
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration.
Zhichao Wei, Qingkun Su, Long Qin, Weizhi Wang.
arXiv 2024. [PDF]
Generative Active Learning for Image Synthesis Personalization.
Xulu Zhang, Wengyu Zhang, Xiao-Yong Wei, Jinlin Wu, Zhaoxiang Zhang, Zhen Lei, Qing Li.
arXiv 2024. [PDF]
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization.
Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak.
arXiv 2024. [PDF]
Tuning-Free Image Customization with Image and Text Guidance.
Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng.
arXiv 2024. [PDF]
Fast Personalized Text-to-Image Syntheses With Attention Injection.
Yuxuan Zhang, Yiren Song, Jinpeng Yu, Han Pan, Zhongliang Jing.
arXiv 2024. [PDF]
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models.
Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, Guanying Chen, Wei Liu, Wenhan Luo.
arXiv 2024. [PDF]
StableGarment: Garment-Centric Generation via Stable Diffusion.
Rui Wang, Hailong Guo, Jiaming Liu, Huaxia Li, Haibo Zhao, Xu Tang, Yao Hu, Hao Tang, Peipei Li.
arXiv 2024. [PDF]
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation.
Likun Li, Haoqi Zeng, Changpeng Yang, Haozhe Jia, Di Xu.
arXiv 2024. [PDF]
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation.
Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen.
arXiv 2024. [PDF]
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization.
Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang.
arXiv 2024. [PDF]
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.
Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen.
arXiv 2024. [PDF]
Direct Consistency Optimization for Compositional Text-to-Image Personalization.
Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin.
arXiv 2024. [PDF]
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image.
Yan Hong, Jianfu Zhang.
arXiv 2024. [PDF]
Visual Concept-driven Image Generation with Text-to-Image Diffusion Model.
Tanzila Rahman, Shweta Mahajan, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Leonid Sigal.
arXiv 2024. [PDF]
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation.
Junjie Shentu, Matthew Watson, Noura Al Moubayed.
arXiv 2024. [PDF]
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization.
Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang.
CVPR 2024. [PDF]
SeFi-IDE: Semantic-Fidelity Identity Embedding for Personalized Diffusion-Based Generation.
Yang Li, Songlin Yang, Wei Wang, Jing Dong.
arXiv 2024. [PDF]
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization.
Henglei Lv, Jiayu Xiao, Liang Li, Qingming Huang.
arXiv 2024. [PDF]
Object-Driven One-Shot Fine-tuning of Text-to-Image Diffusion with Prototypical Embedding.
Jianxiang Lu, Cong Xie, Hui Guo.
arXiv 2024. [PDF]
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.
Senthil Purushwalkam, Akash Gokul, Shafiq Joty, Nikhil Naik.
arXiv 2024. [PDF]
PALP: Prompt Aligned Personalization of Text-to-Image Models.
Moab Arar, Andrey Voynov, Amir Hertz, Omri Avrahami, Shlomi Fruchter, Yael Pritch, Daniel Cohen-Or, Ariel Shamir.
arXiv 2024. [PDF]
Cross Initialization for Personalized Text-to-Image Generation.
Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao.
CVPR 2024. [PDF]
DreamTuner: Single Image is Enough for Subject-Driven Generation.
Miao Hua, Jiawei Liu, Fei Ding, Wei Liu, Jie Wu, Qian He.
arXiv 2023. [PDF]
Decoupled Textual Embeddings for Customized Image Generation.
Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo.
arXiv 2023. [PDF]
Compositional Inversion for Stable Diffusion Models.
Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li.
AAAI 2024. [PDF]
Customization Assistant for Text-to-image Generation.
Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun.
CVPR 2024. [PDF]
VideoBooth: Diffusion-based Video Generation with Image Prompts.
Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu.
arXiv 2023. [PDF]
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models.
Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou.
arXiv 2023. [PDF]
VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model.
Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Zuxuan Wu, Hang Xu, Yu-Gang Jiang.
arXiv 2023. [PDF]
CLiC: Concept Learning in Context.
Mehdi Safaee, Aryan Mikaeili, Or Patashnik, Daniel Cohen-Or, Ali Mahdavi-Amiri.
CVPR 2024. [PDF]
CatVersion- Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization.
Ruoyu Zhao, Mingrui Zhu, Shiyin Dong, Nannan Wang, Xinbo Gao.
arXiv 2023. [PDF]
Lego- Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models.
Saman Motamed, Danda Pani Paudel, Luc Van Gool.
arXiv 2023. [PDF]
An Image is Worth Multiple Words- Multi-attribute Inversion for Constrained Text-to-Image Synthesis.
Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan.
arXiv 2023. [PDF]
DIFFNAT- Improving Diffusion Image Quality Using Natural Image Statistics.
Aniket Roy, Maiterya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa.
arXiv 2023. [PDF]
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
Xingzhe He, Zhiwen Cao, Nicholas Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot.
arXiv 2023. [PDF]
AN IMAGE IS WORTH MULTIPLE WORDS : LEARNING OBJECT LEVEL CONCEPTS USING MULTI-CONCEPT PROMPT LEARNING.
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare.
arXiv 2023. [PDF]
Kosmos-G: Generating Images in Context with Multimodal Large Language Models.
Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei.
arXiv 2023. [PDF]
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation.
Shin-Ying Yeh, Yu-Guan Hsieh, Zhidong Gao, Bernard B W Yang, Giyeong Oh, Yanmin Gong.
ICLR 2024. [PDF]
Subject-Diffusion- Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning.
Jian Ma, Junhao Liang, Chen Chen, Haonan Lu.
ICLR2024 (3566). [PDF]
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models .
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano.
SIGGRAPH ASIA 2023. [PDF]
Generate Anything Anywhere in Any Scene.
Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee.
arXiv 2023. [PDF]
Controlling Text-to-Image Diffusion by Orthogonal Finetuning .
Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf.
NeurIPS 2023. [PDF]
COMCAT: Towards Efficient Compression and Customization of
Attention-Based Vision Models.
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan.
arXiv 2023. [PDF]
Break-A-Scene: Extracting Multiple Concepts from a Single Image.
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski.
SIGGRAPH ASIA 2023. [PDF]
ProSpect- Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models.
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu.
TOG 2023. [PDF]
BLIP-Diffusion- Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing.
Dongxu Li, Junnan Li, Steven C. H. Hoi.
NeurIPS 2023. [PDF]
DisenBooth- Disentangled Parameter-Efficient Tuning for Subject-Driven Text-to-Image Generation.
Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu.
arXiv 2023. [PDF]
Key-Locked Rank One Editing for Text-to-Image Personalization.
Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon.
SIGGRAPH 2023. [PDF]
Gradient-Free Textual Inversion.
Zhengcong Fei, Mingyuan Fan, Junshi Huang.
ACM MM 2023. [PDF]
Controllable Textual Inversion for Personalized Text-to-Image Generation.
Jianan Yang, Haobo Wang, Yanming Zhang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao.
arXiv 2023. [PDF]
InstantBooth- Personalized Text-to-Image Generation without Test-Time Finetuning.
Jing Shi, Wei Xiong, Zhe Lin, Hyun Joon Jung.
CVPR 2024. [PDF]
Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models.
Xuhui Jia, Yang Zhao, Kelvin C. K. Chan, Yandong Li, Han Zhang, Boqing Gong, Tingbo Hou, Huisheng Wang, Yu-Chuan Su.
arXiv 2023. [PDF]
Subject-driven Text-to-Image Generation via Apprenticeship Learning.
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen.
NeurIPS 2023. [PDF]
A Closer Look at Parameter-Efficient Tuning in Diffusion Models .
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu.
arXiv 2023. [PDF]
SVDiff- Compact Parameter Space for Diffusion Fine-Tuning.
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang.
ICCV 2023. [PDF]
P+- Extended Textual Conditioning in Text-to-Image Generation.
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or, Kfir Aberman.
arXiv 2023. [PDF]
Unified Multi-Modal Latent Diffusion for
Joint Subject and Text Conditional Image Generation.
Yiyang Ma, Huan Yang, Wenjing Wang, Jianlong Fu, Jiaying Liu.
arXiv 2023. [PDF]
ELITE- Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation.
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo.
ICCV 2023. [PDF]
Designing an Encoder for Fast Personalization of Text-to-Image Models.
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or.
arXiv 2023. [PDF]
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics.
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin.
NeurIPS 2023. [PDF]
Multi-Concept Customization of Text-to-Image Diffusion.
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu.
CVPR 2023. [PDF]
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Positive-Negative Prompt-Tuning.
Ziyi Dong, Pengxu Wei, Liang Lin.
arXiv 2022. [PDF]
Re-Imagen: Retrieval-Augmented Text-to-Image Generator.
Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen.
ICLR 2023. [PDF]
DreamBooth- Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman.
CVPR 2023. [PDF]
An Image is Worth One Word- Personalizing Text-to-Image Generation using Textual Inversion.
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or.
ICLR 2023. [PDF]
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control.
Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu.
arXiv 2024. [PDF]
MasterWeaver: Taming Editability and Identity for Personalized Text-to-Image Generation.
Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang, Lei Zhang, Wangmeng Zuo.
arXiv 2024. [PDF]
InstantFamily: Masked Attention for Zero-shot Multi-ID Image Generation.
Chanran Kim, Jeongin Lee, Shichang Joung, Bongmo Kim, Yeul-Min Baek.
arXiv 2024. [PDF]
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving.
Jiehui Huang, Xiao Dong, Wenhui Song, Hanhui Li, Jun Zhou, Yuhao Cheng, Shutao Liao, Long Chen, Yiqiang Yan, Shengcai Liao, Xiaodan Liang.
arXiv 2024. [PDF]
PuLID: Pure and Lightning ID Customization via Contrastive Alignment.
Zinan Guo, Yanze Wu, Zhuowei Chen, Lang Chen, Qian He.
arXiv 2024. [PDF]
ID-Aligner: Enhancing Identity-Preserving Text-to-Image Generation with Reward Feedback Learning.
Weifeng Chen, Jiacheng Zhang, Jie Wu, Hefeng Wu, Xuefeng Xiao, Liang Lin.
arXiv 2024. [PDF]
ID-Animator: Zero-Shot Identity-Preserving Human Video Generation.
Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Jie Zhang.
arXiv 2024. [PDF]
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation.
Zehuan Huang, Hongxing Fan, Lipeng Wang, Lu Sheng.
arXiv 2024. [PDF]
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation.
Kuan-Chieh Wang, Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman.
arXiv 2024. [PDF]
LCM-Lookahead for Encoder-based Text-to-Image Personalization.
Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or.
arXiv 2024. [PDF]
FlashFace: Human Image Personalization with High-fidelity Identity Preservation.
Shilong Zhang, Lianghua Huang, Xi Chen, Yifei Zhang, Zhi-Fan Wu, Yutong Feng, Wei Wang, Yujun Shen, Yu Liu, Ping Luo.
arXiv 2024. [PDF]
IDAdapter: Learning Mixed Features for Tuning-Free Personalization of Text-to-Image Models.
Siying Cui, Jia Guo, Xiang An, Jiankang Deng, Yongle Zhao, Xinyu Wei, Ziyong Feng.
arXiv 2024. [PDF]
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm.
Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li.
arXiv 2024. [PDF]
Face2Diffusion for Fast and Editable Face Personalization.
Kaede Shiohara, Toshihiko Yamasaki.
CVPR 2024. [PDF]
CapHuman: Capture Your Moments in Parallel Universes.
Chao Liang, Fan Ma, Linchao Zhu, Yingying Deng, Yi Yang.
arXiv 2024. [PDF]
StableIdentity: Inserting Anybody into Anywhere at First Sight.
Qinghe Wang, Xu Jia, Xiaomin Li, Taiqing Li, Liqian Ma, Yunzhi Zhuge, Huchuan Lu.
arXiv 2024. [PDF]
InstantID: Zero-shot Identity-Preserving Generation in Seconds.
Qixun Wang, Xu Bai, Haofan Wang, Zekui Qin, Anthony Chen, Huaxia Li, Xu Tang, Yao Hu.
arXiv 2024. [PDF]
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation.
Renshuai Liu, Bowen Ma, Wei Zhang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Xuan Cheng.
arXiv 2024. [PDF]
PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization.
Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji.
CVPR 2024. [PDF]
Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods.
Panos Achlioptas, Alexandros Benetatos, Iordanis Fostiropoulos, Dimitris Skourtis.
arXiv 2023. [PDF]
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding.
Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan.
arXiv 2023. [PDF]
DemoCaricature: Democratising Caricature Generation with a Rough Sketch.
Dar-Yen Chen, Subhadeep Koley, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song.
arXiv 2023. [PDF]
ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet.
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert.
arXiv 2023. [PDF]
FaceStudio: Put Your Face Everywhere in Seconds.
Yuxuan Yan, Chi Zhang, Rui Wang, Yichao Zhou, Gege Zhang, Pei Cheng, Gang Yu, Bin Fu.
arXiv 2023. [PDF]
Retrieving Conditions from Reference Images for Diffusion Models.
Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari.
arXiv 2023. [PDF]
When StyleGAN Meets Stable Diffusion- a W + Adapter for Personalized Image Generation.
Xiaoming Li, Xinyu Hou, Chen Change Loy.
arXiv 2023. [PDF]
High-fidelity Person-centric Subject-to-Image Synthesis.
Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin.
arXiv 2023. [PDF]
MagiCapture- High-Resolution Multi-Concept Portrait Customization.
Junha Hyung, Jaeyo Shin, Jaegul Choo.
arXiv 2023. [PDF]
PhotoVerse- Tuning-Free Image Customization with Text-to-Image Diffusion Models.
Li Chen, Mengyi Zhao, Yiheng Liu, Mingxu Ding, Yangyang Song, Shizun Wang, Xu Wang, Hao Yang, Jing Liu, Kang Du, Min Zheng.
arXiv 2023. [PDF]
HyperDreamBooth- HyperNetworks for Fast Personalization of Text-to-Image Models .
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman.
CVPR 2024. [PDF]
DreamIdentity- Improved Editability for Efficient Face-identity Preserved Image Generation .
Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Yongdong Zhang, Zhendong Mao.
arXiv 2023. [PDF]
Face0- Instantaneously Conditioning a Text-to-Image Model on a Face.
Dani Valevski, Danny Wasserman, Yossi Matias, Yaniv Leviathan.
arXiv 2023. [PDF]
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation.
Nico Giambi, Giuseppe Lisanti.
arXiv 2023. [PDF]
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.
Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han.
arXiv 2023. [PDF]
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.
Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu.
arXiv 2024. [PDF]
StyleMaster: Towards Flexible Stylized Image Generation with Diffusion Models.
A, b, s, t, r, a, c, t, , n, o, t, , f, o, u, n, d.
arXiv 2024. [PDF]
VectorPainter: A Novel Approach to Stylized Vector Graphics Synthesis with Vectorized Strokes.
Juncheng Hu, Ximing Xing, Zhengqi Zhang, Jing Zhang, Qian Yu.
arXiv 2024. [PDF]
Customizing Text-to-Image Models with a Single Image Pair.
Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu.
arXiv 2024. [PDF]
MuseumMaker: Continual Style Customization without Catastrophic Forgetting.
Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong.
arXiv 2024. [PDF]
StyleBooth: Image Style Editing with Multimodal Instruction.
Zhen Han, Chaojie Mao, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang.
arXiv 2024. [PDF]
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt.
Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen.
arXiv 2024. [PDF]
Text-to-Image Synthesis for Any Artistic Styles: Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding.
Junseo Park, Beomseok Ko, Hyeryung Jang.
arXiv 2024. [PDF]
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.
Haofan Wang, Matteo Spinelli, Qixun Wang, Xu Bai, Zekui Qin, Anthony Chen.
arXiv 2024. [PDF]
Implicit Style-Content Separation using B-LoRA.
Yarden Frenkel, Yael Vinker, Ariel Shamir, Daniel Cohen-Or.
arXiv 2024. [PDF]
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations.
Tianhao Qi, Shancheng Fang, Yanze Wu, Hongtao Xie, Jiawei Liu, Lang Chen, Qian He, Yongdong Zhang.
CVPR 2024. [PDF]
Visual Style Prompting with Swapping Self-Attention.
Jaeseok Jeong, Junho Kim, Yunjey Choi, Gayoung Lee, Youngjung Uh.
arXiv 2024. [PDF]
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan.
arXiv 2023. [PDF]
Style Aligned Image Generation via Shared Attention.
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HyperHuman- Hyper-Realistic Human Generation with Latent Structural Diffusion.
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VersaT2I: Improving Text-to-Image Models with Versatile Reward.
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Improving Text-to-Image Consistency via Automatic Prompt Optimization.
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Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering.
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DivCon: Divide and Conquer for Progressive Text-to-Image Generation.
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ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.
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MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion.
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Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering.
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EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models.
Jingyuan Yang, Jiawei Feng, Hui Huang.
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TokenCompose: Grounding Diffusion with Token-level Supervision.
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PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation.
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Paragraph-to-Image Generation with Information-Enriched Diffusion Model.
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Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting.
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CVPR 2024. [PDF]
Divide & Bind Your Attention for Improved Generative Semantic Nursing.
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BMVC 2023. [PDF]
Linguistic Binding in Diffusion Models- Enhancing Attribute Correspondence through Attention Map Alignment.
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NeurIPS 2023. [PDF]
Expressive Text-to-Image Generation with Rich Text.
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ICCV 2023. [PDF]
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.
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Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model.
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In-Context Learning Unlocked for Diffusion Models.
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BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction.
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DreamDiffusion: Generating High-Quality Images from Brain EEG Signals.
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Natural Image Reconstruction from fMRI Based on Self-supervised Representation Learning and Latent Diffusion Model.
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ACM MM 2023.
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion.
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Scientific Reports 2023. [PDF]
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity.
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CVPR 2023.
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding.
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SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models.
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Align, Adapt and Inject: Sound-guided
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GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.
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GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models.**
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High Fidelity Scene Text Synthesis.
Yibin Wang, Weizhong Zhang, Changhai Zhou, Cheng Jin.
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CustomText: Customized Textual Image Generation using Diffusion Models.
Shubham Paliwal, Arushi Jain, Monika Sharma, Vikram Jamwal, Lovekesh Vig.
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Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation.
Sanyam Lakhanpal, Shivang Chopra, Vinija Jain, Aman Chadha, Man Luo.
arXiv 2024. [PDF]
Typographic Text Generation with Off-the-Shelf Diffusion Model.
KhayTze Peong, Seiichi Uchida, Daichi Haraguchi.
arXiv 2024. [PDF]
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model.
Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao.
AAAI 2024. [PDF]
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models.
Yiming Zhao, Zhouhui Lian.
arXiv 2023. [PDF]
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering.
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei.
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AnyText: Multilingual Visual Text Generation And Editing.
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, Xuansong Xie.
arXiv 2023. [PDF]
GlyphControl: Glyph Conditional Control for Visual Text Generation.
Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen.
NeurIPS 2023. [PDF]
TextDiffuser: Diffusion Models as Text Painters.
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei.
arXiv 2023. [PDF]
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image.
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin.
arXiv 2023. [PDF]
Character-Aware Models Improve Visual Text Rendering.
Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant.
ACL 2022. [PDF]
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition.
Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen.
arXiv 2024. [PDF]
Non-confusing Generation of Customized Concepts in Diffusion Models.
Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang.
arXiv 2024. [PDF]
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models.
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M Patel.
arXiv 2024. [PDF]
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.
Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang.
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Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models.
Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron.
arXiv 2024. [PDF]
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation.
Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham.
NeurIPS 2023. [PDF]
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.
Guangxuan Xiao, Tianwei Yin, William T. Freeman, Frédo Durand, Song Han.
arXiv 2023. [PDF]
SVDiff- Compact Parameter Space for Diffusion Fine-Tuning.
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, Feng Yang.
ICCV 2023. [PDF]
Composer: Creative and controllable image synthesis with composable conditions.
Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou.
ICML 2023. [PDF]
MuseumMaker: Continual Style Customization without Catastrophic Forgetting.
Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong.
arXiv 2024. [PDF]
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers.
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel.
arXiv 2024. [PDF]
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters.
James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin.
arXiv 2023. [PDF]
Create Your World: Lifelong Text-to-Image
Diffusion.
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong.
arXiv 2023. [PDF]
Continual Diffusion- Continual Customization of Text-to-Image Diffusion with C-LoRA.
James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin.
arXiv 2023. [PDF]
CLoRA: A Contrastive Approach to Compose Multiple LoRA Models.
Tuna Han Salih Meral, Enis Simsar, Federico Tombari, Pinar Yanardag.
arXiv 2024. [PDF]
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization.
Yu Xu, Fan Tang, Juan Cao, Yuxin Zhang, Oliver Deussen, Weiming Dong, Jintao Li, Tong-Yee Lee.
arXiv 2024. [PDF]
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.
Yang Yang, Wen Wang, Liang Peng, Chaotian Song, Yao Chen, Hengjia Li, Xiaolong Yang, Qinglin Lu, Deng Cai, Boxi Wu, Wei Liu.
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Orthogonal Adaptation for Modular Customization of Diffusion Models.
Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein.
arXiv 2023. [PDF]
ZipLoRA- Any Subject in Any Style by Effectively Merging LoRAs.
Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani.
arXiv 2023. [PDF]
Mix-of-Show- Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou.
NeurIPS 2023. [PDF]
Cones- Concept Neurons in Diffusion Models for Customized Generation.
Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao.
ICML 2023. [PDF]
Multi-Concept Customization of Text-to-Image Diffusion.
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu.
CVPR 2023. [PDF]
Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation.
Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang.
arXiv 2024. [PDF]
MultiBooth: Towards Generating All Your Concepts in an Image from Text.
Chenyang Zhu, Kai Li, Yue Ma, Chunming He, Li Xiu.
arXiv 2024. [PDF]
Cones 2- Customizable Image Synthesis with Multiple Subjects .
Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao.
arXiv 2023. [PDF]
Mix-of-Show- Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.
Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou.
NeurIPS 2023. [PDF]
DreamWalk: Style Space Exploration using Diffusion Guidance.
Michelle Shu, Charles Herrmann, Richard Strong Bowen, Forrester Cole, Ramin Zabih.
arXiv 2024. [PDF]
Isolated Diffusion: Optimizing Multi-Concept Text-to-Image Generation Training-Freely with Isolated Diffusion Guidance.
Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan.
arXiv 2024. [PDF]
Concept-centric Personalization with Large-scale Diffusion Priors.
Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song.
arXiv 2023. [PDF]
High-fidelity Person-centric Subject-to-Image Synthesis.
Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin.
arXiv 2023. [PDF]
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models.
Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-cong Chen.
arXiv 2023. [PDF]
Collaborative Diffusion for Multi-Modal Face Generation and Editing.
Ziqi Huang, Kelvin C. K. Chan, Yuming Jiang, Ziwei Liu.
CVPR 2023. [PDF]
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation.
Yuanhuiyi Lyu, Xu Zheng, Lin Wang.
arXiv 2024. [PDF]
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion.
Wei Li, Xue Xu, Jiachen Liu, Xinyan Xiao.
arXiv 2024. [PDF]
Instruct-Imagen: Image Generation with Multi-modal Instruction.
Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William Cohen, Ming-Wei Chang, Xuhui Jia.
arXiv 2024. [PDF]
Generative Multimodal Models are In-Context Learners.
Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang.
arXiv 2023. [PDF]
DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models.
Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn.
arXiv 2023. [PDF]
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan.
arXiv 2023. [PDF]
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model.
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang.
ICCV 2023. [PDF]
Universal Guidance for Diffusion Models.
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein.
CVPRW 2023. [PDF]