CVPR 2025 decisions are now available on OpenReview！22.1% = 2878 / 13008
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注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision
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- 3DGS(Gaussian Splatting)
- Avatars
- Backbone
- CLIP
- Mamba
- Embodied AI
- GAN
- GNN
- 多模态大语言模型(MLLM)
- 大语言模型(LLM)
- NAS
- OCR
- NeRF
- DETR
- 扩散模型(Diffusion Models)
- ReID(重识别)
- 长尾分布(Long-Tail)
- Vision Transformer
- 视觉和语言(Vision-Language)
- 自监督学习(Self-supervised Learning)
- 数据增强(Data Augmentation)
- 目标检测(Object Detection)
- 异常检测(Anomaly Detection)
- 目标跟踪(Visual Tracking)
- 语义分割(Semantic Segmentation)
- 实例分割(Instance Segmentation)
- 全景分割(Panoptic Segmentation)
- 医学图像(Medical Image)
- 医学图像分割(Medical Image Segmentation)
- 视频目标分割(Video Object Segmentation)
- 视频实例分割(Video Instance Segmentation)
- 参考图像分割(Referring Image Segmentation)
- 图像抠图(Image Matting)
- 图像编辑(Image Editing)
- Low-level Vision
- 超分辨率(Super-Resolution)
- 去噪(Denoising)
- 去模糊(Deblur)
- 自动驾驶(Autonomous Driving)
- 3D点云(3D Point Cloud)
- 3D目标检测(3D Object Detection)
- 3D语义分割(3D Semantic Segmentation)
- 3D目标跟踪(3D Object Tracking)
- 3D语义场景补全(3D Semantic Scene Completion)
- 3D配准(3D Registration)
- 3D人体姿态估计(3D Human Pose Estimation)
- 3D人体Mesh估计(3D Human Mesh Estimation)
- 医学图像(Medical Image)
- 图像生成(Image Generation)
- 视频生成(Video Generation)
- 3D生成(3D Generation)
- 视频理解(Video Understanding)
- 行为检测(Action Detection)
- 文本检测(Text Detection)
- 知识蒸馏(Knowledge Distillation)
- 模型剪枝(Model Pruning)
- 图像压缩(Image Compression)
- 三维重建(3D Reconstruction)
- 深度估计(Depth Estimation)
- 轨迹预测(Trajectory Prediction)
- 车道线检测(Lane Detection)
- 图像描述(Image Captioning)
- 视觉问答(Visual Question Answering)
- 手语识别(Sign Language Recognition)
- 视频预测(Video Prediction)
- 新视点合成(Novel View Synthesis)
- Zero-Shot Learning(零样本学习)
- 立体匹配(Stereo Matching)
- 特征匹配(Feature Matching)
- 场景图生成(Scene Graph Generation)
- 隐式神经表示(Implicit Neural Representations)
- 图像质量评价(Image Quality Assessment)
- 视频质量评价(Video Quality Assessment)
- 数据集(Datasets)
- 新任务(New Tasks)
- 其他(Others)
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
MobileMamba: Lightweight Multi-Receptive Visual Mamba Network
- Paper: https://arxiv.org/abs/2411.15941
- Code: https://github.com/lewandofskee/MobileMamba
TinyFusion: Diffusion Transformers Learned Shallow
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
Multiple Object Tracking as ID Prediction
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing
AESOP: Auto-Encoded Supervision for Perceptual Image Super-Resolution
- Paper: https://arxiv.org/abs/2412.00124
- Code: https://github.com/2minkyulee/AESOP-Auto-Encoded-Supervision-for-Perceptual-Image-Super-Resolution
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
- Paper: https://arxiv.org/abs/2412.04852
- Code: https://github.com/taco-group/SleeperMark
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation
- Homepage: https://byteflow-ai.github.io/TokenFlow/
- Code: https://github.com/ByteFlow-AI/TokenFlow
- Paper:https://arxiv.org/abs/2412.03069
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
- Paper: https://arxiv.org/abs/2411.17440
- Code: https://github.com/PKU-YuanGroup/ConsisID
Cinemo: Consistent and Controllable Image Animation with Motion Diffusion Models
X-Dyna: Expressive Dynamic Human Image Animation
