Attention routing between capsules J Choi, H Seo, S Im, M Kang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 87 | 2019 |
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs J Choi, J Lee, C Yoon, JH Park, G Hwang, M Kang Proceedings of the International Conference on Learning Representations, 2022, 2022 | 22 | 2022 |
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry YH Park, M Kwon, J Choi, J Jo, Y Uh Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 8 | 2023 |
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport J Choi, J Choi, M Kang Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 6 | 2023 |
Disentangling the correlated continuous and discrete generative factors of data J Choi, G Hwang, M Kang Pattern Recognition 133, 109055, 2023 | 6* | 2023 |
Analyzing the latent space of gan through local dimension estimation J Choi, G Hwang, H Cho, M Kang arXiv preprint arXiv:2205.13182, 2022 | 3 | 2022 |
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action G Hwang, J Choi, H Cho, M Kang Proceedings of the 40th International Conference on Machine Learning, 2023., 2023 | 1 | 2023 |
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport J Choi, J Choi, M Kang arXiv preprint arXiv:2402.05443, 2024 | | 2024 |
Analyzing and Improving Optimal-Transport-based Adversarial Networks J Choi, J Choi, M Kang Proceedings of the International Conference on Learning Representations, 2024, 2023 | | 2023 |
Finding the global semantic representation in GAN through Frechet Mean J Choi, G Hwang, H Cho, M Kang Proceedings of the International Conference on Learning Representations, 2023, 2023 | | 2023 |