papers

Papers 📜

These are the most relevant papers, do add the ones you like too!

Trying to keep an order of importance in the lists

Consider using ArxivTools to easily get markdown-formatted links from arxiv.org.

/!\ Re-organization in progress!! (victor: 18-03-202)

GANs

1. [1406.2661] Generative Adversarial Networks (github)
2. [1411.1784] Conditional Generative Adversarial Nets
3. [1511.06434] Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (github)
4. [1606.00709] f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
5. [1701.07875v2] Wasserstein GAN (github)

A. Image-to-Image translation

1. [1611.07004] Image-to-Image Translation with Conditional Adversarial Networks (github)
2. [1703.10593] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
3. [1711.11586] Toward Multimodal Image-to-Image Translation
4. [1703.00848] Unsupervised Image-to-image Translation Networks (github)
5. [1804.04732] Multimodal Unsupervised Image-to-Image Translation
6. [1703.06868] Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
7. [1903.07291] Semantic Image Synthesis with Spatially-Adaptive Normalization
8. [1812.10889] InstaGAN: Instance-aware Image-to-Image Translation
9. [1709.07871] FiLM: Visual Reasoning with a General Conditioning Layer
10. [1802.06474] A Closed-form Solution to Photorealistic Image Stylization
11. [1805.09730] Image-to-image translation for cross-domain disentanglement
12. [2003.06221] Semantic Pyramid for Image Generation

B. HD

1. [1711.11585] High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
2. [1710.10196] Progressive Growing of GANs for Improved Quality, Stability, and Variation
3. [1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks
4. [1912.04958] Analyzing and Improving the Image Quality of StyleGAN
5. [2003.06221] Semantic Pyramid for Image Generation

C. Domain Adaptation

1. [1711.03213] CyCADA: Cycle-Consistent Adversarial Domain Adaptation
2. [1812.07252] Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
3. [1703.06907] Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
4. [1511.07111] Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
5. [1711.06969] Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Draft: Domain Adaptation Guide (slides)

D. Geometric approach

1. Pinhole camera model
2. [1804.00607] MegaDepth: Learning Single-View Depth Prediction from Internet Photos
3. [1612.00496] 3D Bounding Box Estimation Using Deep Learning and Geometry