Diffusion models already have a semantic latent space M Kwon, J Jeong, Y Uh arXiv preprint arXiv:2210.10960, 2022 | 220 | 2022 |
Understanding the latent space of diffusion models through the lens of riemannian geometry YH Park, M Kwon, J Choi, J Jo, Y Uh Advances in Neural Information Processing Systems 36, 24129-24142, 2023 | 44 | 2023 |
Training-free Content Injection using h-space in Diffusion Models J Jeong, M Kwon, Y Uh Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 34* | 2024 |
Unsupervised discovery of semantic latent directions in diffusion models YH Park, M Kwon, J Jo, Y Uh arXiv preprint arXiv:2302.12469, 2023 | 21 | 2023 |
Customize-a-video: One-shot motion customization of text-to-video diffusion models Y Ren, Y Zhou, J Yang, J Shi, D Liu, F Liu, M Kwon, A Shrivastava arXiv preprint arXiv:2402.14780, 2024 | 19 | 2024 |
Furrygan: High quality foreground-aware image synthesis J Bae, M Kwon, Y Uh European Conference on Computer Vision, 696-712, 2022 | 5 | 2022 |
Plug-and-Play Diffusion Distillation YT Hsiao, S Khodadadeh, K Duarte, WA Lin, H Qu, M Kwon, R Kalarot Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
Harivo: Harnessing text-to-image models for video generation M Kwon, SW Oh, Y Zhou, D Liu, JY Lee, H Cai, B Liu, F Liu, Y Uh European Conference on Computer Vision, 19-36, 2025 | 2 | 2025 |
Attribute Based Interpretable Evaluation Metrics for Generative Models D Kim, M Kwon, Y Uh arXiv preprint arXiv:2310.17261, 2023 | 2 | 2023 |
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models F Liu, M Kwon, A Shrivastava | | |