| Palette: Image-to-image diffusion models C Saharia, W Chan, H Chang, C Lee, J Ho, T Salimans, D Fleet, ... ACM SIGGRAPH 2022 conference proceedings, 1-10, 2022 | 1378 | 2022 |
| Imagic: Text-based real image editing with diffusion models B Kawar, S Zada, O Lang, O Tov, H Chang, T Dekel, I Mosseri, M Irani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 946 | 2023 |
| Maskgit: Masked generative image transformer H Chang, H Zhang, L Jiang, C Liu, WT Freeman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 518 | 2022 |
| Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023 | 455 | 2023 |
| Pairedcyclegan: Asymmetric style transfer for applying and removing makeup H Chang, J Lu, F Yu, A Finkelstein Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 337 | 2018 |
| Palette-based photo recoloring. H Chang, O Fried, Y Liu, S DiVerdi, A Finkelstein ACM Trans. Graph. 34 (4), 139:1-139:11, 2015 | 298 | 2015 |
| Vitgan: Training gans with vision transformers K Lee, H Chang, L Jiang, H Zhang, Z Tu, C Liu arXiv preprint arXiv:2107.04589, 2021 | 240 | 2021 |
| Distortion agnostic deep watermarking X Luo, R Zhan, H Chang, F Yang, P Milanfar Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 204 | 2020 |
| Magvit: Masked generative video transformer L Yu, Y Cheng, K Sohn, J Lezama, H Zhang, H Chang, AG Hauptmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 172 | 2023 |
| Mage: Masked generative encoder to unify representation learning and image synthesis T Li, H Chang, S Mishra, H Zhang, D Katabi, D Krishnan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 130 | 2023 |
| Swapnet: Image based garment transfer A Raj, P Sangkloy, H Chang, J Hays, D Ceylan, J Lu Computer Vision–ECCV 2018: 15th European Conference, Munich, Germany …, 2018 | 124 | 2018 |
| Autoflow: Learning a better training set for optical flow D Sun, D Vlasic, C Herrmann, V Jampani, M Krainin, H Chang, R Zabih, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 121 | 2021 |
| Lasr: Learning articulated shape reconstruction from a monocular video G Yang, D Sun, V Jampani, D Vlasic, F Cole, H Chang, D Ramanan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 118 | 2021 |
| Rectangling panoramic images via warping K He, H Chang, J Sun ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013 | 112 | 2013 |
| Stablerep: Synthetic images from text-to-image models make strong visual representation learners Y Tian, L Fan, P Isola, H Chang, D Krishnan Advances in Neural Information Processing Systems 36, 2024 | 107 | 2024 |
| Styledrop: Text-to-image generation in any style K Sohn, N Ruiz, K Lee, DC Chin, I Blok, H Chang, J Barber, L Jiang, ... arXiv preprint arXiv:2306.00983, 2023 | 92 | 2023 |
| Visual prompt tuning for generative transfer learning K Sohn, H Chang, J Lezama, L Polania, H Zhang, Y Hao, I Essa, L Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 77 | 2023 |
| Blt: Bidirectional layout transformer for controllable layout generation X Kong, L Jiang, H Chang, H Zhang, Y Hao, H Gong, I Essa European Conference on Computer Vision, 474-490, 2022 | 72 | 2022 |
| Score-based diffusion models as principled priors for inverse imaging BT Feng, J Smith, M Rubinstein, H Chang, KL Bouman, WT Freeman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 65 | 2023 |
| Automatic triage for a photo series H Chang, F Yu, J Wang, D Ashley, A Finkelstein ACM Transactions on Graphics (TOG) 35 (4), 1-10, 2016 | 62 | 2016 |
