Stargan v2: Diverse image synthesis for multiple domains Y Choi, Y Uh, J Yoo, JW Ha Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 1756 | 2020 |
Photorealistic style transfer via wavelet transforms J Yoo, Y Uh, S Chun, B Kang, JW Ha Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 372 | 2019 |
Reliable fidelity and diversity metrics for generative models MF Naeem, SJ Oh, Y Uh, Y Choi, J Yoo International Conference on Machine Learning, 7176-7185, 2020 | 292 | 2020 |
Background suppression network for weakly-supervised temporal action localization P Lee, Y Uh, H Byun Proceedings of the AAAI conference on artificial intelligence 34 (07), 11320 …, 2020 | 231 | 2020 |
Exploiting spatial dimensions of latent in gan for real-time image editing H Kim, Y Choi, J Kim, S Yoo, Y Uh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 164 | 2021 |
Adamp: Slowing down the slowdown for momentum optimizers on scale-invariant weights B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha arXiv preprint arXiv:2006.08217, 2020 | 158 | 2020 |
Diffusion models already have a semantic latent space M Kwon, J Jeong, Y Uh arXiv preprint arXiv:2210.10960, 2022 | 145 | 2022 |
Rethinking the truly unsupervised image-to-image translation K Baek, Y Choi, Y Uh, J Yoo, H Shim Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 113 | 2021 |
In-sample contrastive learning and consistent attention for weakly supervised object localization M Ki, Y Uh, W Lee, H Byun Proceedings of the Asian conference on computer vision, 2020 | 35 | 2020 |
Feature statistics mixing regularization for generative adversarial networks J Kim, Y Choi, Y Uh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 20 | 2022 |
Training-free style transfer emerges from h-space in diffusion models J Jeong, M Kwon, Y Uh arXiv preprint arXiv:2303.15403 3, 2023 | 16 | 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 | 15 | 2023 |
Unsupervised discovery of semantic latent directions in diffusion models YH Park, M Kwon, J Jo, Y Uh arXiv preprint arXiv:2302.12469, 2023 | 15 | 2023 |
Contrastive attention maps for self-supervised co-localization M Ki, Y Uh, J Choe, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
Exploiting hierarchical visual features for visual question answering J Hong, J Fu, Y Uh, T Mei, H Byun Neurocomputing 351, 187-195, 2019 | 13 | 2019 |
Efficient multiview stereo by random-search and propagation Y Uh, Y Matsushita, H Byun 2014 2nd International Conference on 3D Vision 1, 393-400, 2014 | 9 | 2014 |
AesPA-Net: Aesthetic pattern-aware style transfer networks K Hong, S Jeon, J Lee, N Ahn, K Kim, P Lee, D Kim, Y Uh, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Lanit: Language-driven image-to-image translation for unlabeled data J Park, S Kim, S Kim, S Cho, J Yoo, Y Uh, S Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 8 | 2023 |
ArrowGAN: Learning to generate videos by learning Arrow of Time K Hong, Y Uh, H Byun Neurocomputing 438, 223-234, 2021 | 8 | 2021 |
Ballgan: 3d-aware image synthesis with a spherical background M Shin, Y Seo, J Bae, YS Choi, H Kim, H Byun, Y Uh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |