| 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, 2223-2232, 2017 | 26419 | 2017 |
| Cycada: Cycle-consistent adversarial domain adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell International conference on machine learning, 1989-1998, 2018 | 3679 | 2018 |
| Semantic image synthesis with spatially-adaptive normalization T Park, MY Liu, TC Wang, JY Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 3550 | 2019 |
| Contrastive Learning for Unpaired Image-to-Image Translation T Park, AA Efros, R Zhang, JY Zhu European Conference on Computer Vision (ECCV), 2020 | 1556 | 2020 |
| Scaling up gans for text-to-image synthesis M Kang, JY Zhu, R Zhang, J Park, E Shechtman, S Paris, T Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 535 | 2023 |
| 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 | 385 | 2020 |
| Gaugan: semantic image synthesis with spatially adaptive normalization T Park, MY Liu, TC Wang, JY Zhu ACM SIGGRAPH 2019 Real-Time Live!, 1-1, 2019 | 160 | 2019 |
| One-step diffusion with distribution matching distillation T Yin, M Gharbi, R Zhang, E Shechtman, F Durand, WT Freeman, T Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 141 | 2024 |
| Holistic evaluation of text-to-image models T Lee, M Yasunaga, C Meng, Y Mai, JS Park, A Gupta, Y Zhang, ... Advances in Neural Information Processing Systems 36, 69981-70011, 2023 | 124 | 2023 |
| Expressive text-to-image generation with rich text S Ge, T Park, JY Zhu, JB Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 73 | 2023 |
| Unpaired image-to-image translation using cycle-consistent adversarial networks. arXiv preprint (2017) JY Zhu, T Park, P Isola, AA Efros arXiv preprint arXiv:1703.10593, 2017 | 70 | 2017 |
| Blobgan: Spatially disentangled scene representations D Epstein, T Park, R Zhang, E Shechtman, AA Efros European conference on computer vision, 616-635, 2022 | 58 | 2022 |
| Improved distribution matching distillation for fast image synthesis T Yin, M Gharbi, T Park, R Zhang, E Shechtman, F Durand, WT Freeman arXiv preprint arXiv:2405.14867, 2024 | 47 | 2024 |
| Inverse optimal control for humanoid locomotion T Park, S Levine Robotics science and systems workshop on inverse optimal control and robotic …, 2013 | 40 | 2013 |
| One-step image translation with text-to-image models G Parmar, T Park, S Narasimhan, JY Zhu arXiv preprint arXiv:2403.12036, 2024 | 36 | 2024 |
| Contrastive feature loss for image prediction A Andonian, T Park, B Russell, P Isola, JY Zhu, R Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 35 | 2021 |
| Distilling diffusion models into conditional gans M Kang, R Zhang, C Barnes, S Paris, S Kwak, J Park, E Shechtman, ... European Conference on Computer Vision, 428-447, 2024 | 18 | 2024 |
| Domain expansion of image generators Y Nitzan, M Gharbi, R Zhang, T Park, JY Zhu, D Cohen-Or, E Shechtman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| A deep learning algorithm to predict hazardous drinkers and the severity of alcohol-related problems using K-NHANES SY Kim, T Park, K Kim, J Oh, Y Park, DJ Kim Frontiers in psychiatry 12, 684406, 2021 | 13 | 2021 |
| VideoGigaGAN: Towards detail-rich video super-resolution Y Xu, T Park, R Zhang, Y Zhou, E Shechtman, F Liu, JB Huang, D Liu arXiv preprint arXiv:2404.12388, 2024 | 11 | 2024 |
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.cmu.edu