Unpaired image-to-image translation using cycle-consistent adversarial networks JY Zhu, T Park, P Isola, AA Efros Proceedings of the IEEE International Conference on Computer Vision, 2017 | 23322 | 2017 |
Image-to-image translation with conditional adversarial networks P Isola, JY Zhu, T Zhou, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 23188 | 2017 |
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs TC Wang, MY Liu, JY Zhu, A Tao, J Kautz, B Catanzaro Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 4753 | 2018 |
CyCADA: Cycle-Consistent Adversarial Domain Adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell International Conference on Machine Learning, 2018 | 3341 | 2018 |
Semantic Image Synthesis with Spatially-Adaptive Normalization T Park, MY Liu, TC Wang, JY Zhu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 3233 | 2019 |
Toward Multimodal Image-to-Image Translation JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman Advances in Neural Information Processing Systems, 465-476, 2017 | 1804 | 2017 |
Generative Visual Manipulation on the Natural Image Manifold JY Zhu, P Krähenbühl, E Shechtman, AA Efros Proceedings of European Conference on Computer Vision (ECCV), 2016 | 1578 | 2016 |
Contrastive Learning for Unpaired Image-to-Image Translation T Park, AA Efros, R Zhang, JY Zhu Proceedings of European Conference on Computer Vision (ECCV), 2020 | 1221 | 2020 |
Video-to-Video Synthesis TC Wang, MY Liu, JY Zhu, G Liu, A Tao, J Kautz, B Catanzaro Advances in Neural Information Processing Systems, 2018 | 1140 | 2018 |
SDEdit: Guided Image synthesis and editing with stochastic differential equations C Meng, Y He, Y Song, J Song, J Wu, JY Zhu, S Ermon International Conference on Learning Representations (ICLR), 2022 | 1102* | 2022 |
Generating adversarial examples with adversarial networks C Xiao, B Li, JY Zhu, W He, M Liu, D Song International Joint Conferences on Artificial Intelligence, 2018 | 978 | 2018 |
Learning the signatures of the human grasp using a scalable tactile glove S Sundaram, P Kellnhofer, Y Li, JY Zhu, A Torralba, W Matusik Nature 569 (7758), 698-702, 2019 | 854 | 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) 36 (4), 119:1--119:11, 2017 | 736 | 2017 |
Depth-supervised NeRF: Fewer Views and Faster Training for Free K Deng, A Liu, JY Zhu, D Ramanan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2022 | 662 | 2022 |
Differentiable augmentation for data-efficient gan training S Zhao, Z Liu, J Lin, JY Zhu, S Han Advances in Neural Information Processing Systems (NeurIPS), 2020 | 609 | 2020 |
Spatially transformed adversarial examples C Xiao, JY Zhu, B Li, W He, M Liu, D Song International Conference on Learning Representations, 2018 | 586 | 2018 |
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... International Conference on Learning Representations (ICLR) 11, 2019 | 582 | 2019 |
Dataset Distillation T Wang, JY Zhu, A Torralba, AA Efros arXiv preprint arXiv:1811.10959, 2018 | 528 | 2018 |
Weakly supervised histopathology cancer image segmentation and classification Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu Medical image analysis 18 (3), 591-604, 2014 | 469* | 2014 |
State of the Art on Neural Rendering A Tewari, O Fried, J Thies, V Sitzmann, S Lombardi, K Sunkavalli, ... Computer Graphics Forum (Eurographics STAR 2020), 2020 | 456 | 2020 |