| The Unreasonable Effectiveness of Deep Features as a Perceptual Metric R Zhang, P Isola, AA Efros, E Shechtman, O Wang Computer Vision and Pattern Recognition (CVPR), 2018 | 19226 | 2018 |
| Colorful Image Colorization R Zhang, P Isola, A Efros European Conference on Computer Vision (ECCV), 2016 | 4936 | 2016 |
| Toward Multimodal Image-to-Image Translation JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman Neural Information Processing Systems (NIPS), 465-476, 2017 | 2157 | 2017 |
| Contrastive Learning for Unpaired Image-to-Image Translation T Park, AA Efros, R Zhang, JY Zhu European Conference on Computer Vision (ECCV), 2020 | 2052 | 2020 |
| CNN-generated images are surprisingly easy to spot... for now SY Wang, O Wang, R Zhang, A Owens, AA Efros Computer Vision and Pattern Recognition (CVPR), 2020 | 1651 | 2020 |
| Multi-Concept Customization of Text-to-Image Diffusion N Kumari, B Zhang, R Zhang, E Shechtman, JY Zhu Computer Vision and Pattern Recognition (CVPR), 2023 | 1303 | 2023 |
| Making Convolutional Networks Shift-Invariant Again R Zhang International Conference on Machine Learning (ICML), 2019 | 1207 | 2019 |
| Real-time user-guided image colorization with learned deep priors R Zhang, JY Zhu, P Isola, X Geng, AS Lin, T Yu, AA Efros ACM Transactions on Graphics (TOG), 2017 | 904 | 2017 |
| Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction R Zhang, P Isola, AA Efros Computer Vision and Pattern Recognition (CVPR), 2017 | 884 | 2017 |
| Scaling up GANs for Text-to-Image Synthesis M Kang, JY Zhu, R Zhang, J Park, E Shechtman, S Paris, T Park Computer Vision and Pattern Recognition (CVPR), 2023 | 850 | 2023 |
| Zero-shot image-to-image translation G Parmar, KK Singh, R Zhang, Y Li, J Lu, JY Zhu ACM Transactions on Graphics (TOG), 2023 | 669 | 2023 |
| On Aliased Resizing Libraries and Surprising Subtleties in FID Calculation G Parmar, R Zhang, JY Zhu Computer Vision and Pattern Recognition (CVPR), 2022 | 610* | 2022 |
| Stochastic adversarial video prediction AX Lee, R Zhang, F Ebert, P Abbeel, C Finn, S Levine arXiv preprint arXiv:1804.01523, 2018 | 572 | 2018 |
| One-step Diffusion with Distribution Matching Distillation T Yin, M Gharbi, R Zhang, E Shechtman, F Durand, WT Freeman, T Park Computer Vision and Pattern Recognition (CVPR), 2024 | 546 | 2024 |
| Swapping Autoencoder for Deep Image Manipulation T Park, JY Zhu, O Wang, J Lu, E Shechtman, AA Efros, R Zhang Neural Information Processing Systems (NeurIPS), 2020 | 479 | 2020 |
| DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data S Fu, N Tamir, S Sundaram, L Chai, R Zhang, T Dekel, P Isola Neural Information Processing Systems (NeurIPS), 2023 | 405 | 2023 |
| Ablating concepts in text-to-image diffusion models N Kumari, B Zhang, SY Wang, E Shechtman, R Zhang, JY Zhu International Conference on Computer Vision (ICCV), 2023 | 377 | 2023 |
| Few-shot Image Generation via Cross-domain Correspondence U Ojha, Y Li, J Lu, AA Efros, YJ Lee, E Shechtman, R Zhang Computer Vision and Pattern Recognition (CVPR), 2021 | 360 | 2021 |
| Editing Conditional Radiance Fields S Liu, X Zhang, Z Zhang, R Zhang, JY Zhu, B Russell International Conference on Computer Vision (ICCV), 2021 | 352 | 2021 |
| Improved Distribution Matching Distillation for Fast Image Synthesis T Yin, M Gharbi, T Park, R Zhang, E Shechtman, F Durand, WT Freeman Neural Information Processing Systems (NeurIPS), 2024 | 276 | 2024 |
Eli ShechtmanSenior Principal Scientist, Adobe ResearchVerified email at adobe.com
