Diffusion models already have a semantic latent space M Kwon, J Jeong, Y Uh arXiv preprint arXiv:2210.10960, 2022 | 118 | 2022 |
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 | 19* | 2024 |
Unsupervised discovery of semantic latent directions in diffusion models YH Park, M Kwon, J Jo, Y Uh arXiv preprint arXiv:2302.12469, 2023 | 11 | 2023 |
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 | 8 | 2023 |
Furrygan: High quality foreground-aware image synthesis J Bae, M Kwon, Y Uh European Conference on Computer Vision, 696-712, 2022 | 5 | 2022 |
Attribute Based Interpretable Evaluation Metrics for Generative Models D Kim, M Kwon, Y Uh arXiv preprint arXiv:2310.17261, 2023 | | 2023 |