Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks S Yu, J Tack, S Mo, H Kim, J Kim, JW Ha, J Shin ICLR 2022, 2022 | 185 | 2022 |
Video Probabilistic Diffusion Models in Projected Latent Space S Yu, K Sohn, S Kim, J Shin CVPR 2023, 2023 | 118 | 2023 |
Consistency Regularization for Adversarial Robustness J Tack, S Yu, J Jeong, M Kim, SJ Hwang, J Shin AAAI 2022, 2022 | 53 | 2022 |
RoMA: Robust Model Adaptation for Offline Model-based Optimization S Yu, S Ahn, L Song, J Shin NeurIPS 2021, 2021 | 34 | 2021 |
Scalable Neural Video Representations with Learnable Positional Features S Kim, S Yu, J Lee, J Shin NeurIPS 2022, 2022 | 28 | 2022 |
Learning Large-scale Neural Fields via Context Pruned Meta-Learning J Tack, S Kim, S Yu, J Lee, J Shin, JR Schwarz NeurIPS 2023, 2023 | 8* | 2023 |
Abstract Reasoning via Logic-guided Generation S Yu, S Mo, S Ahn, J Shin ICML 2021 Workshop on SSL, 2021 | 8 | 2021 |
Data-Efficient Molecular Generation with Hierarchical Textual Inversion S Kim, J Nam, S Yu, Y Shin, J Shin ICML 2024, 2024 | 2 | 2024 |
MC2: Multi-view Consistent Depth Estimation via Coordinated Image-based Neural Rendering S Kim, SH Park, S Yu, K Sohn, J Shin CVPR 2024 Workshop on Neural Rendering Intelligence, 2024 | 1 | 2024 |
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition S Yu, W Nie, DA Huang, B Li, J Shin, A Anandkumar ICLR 2024, 2024 | 1 | 2024 |
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck J Jeong, S Yu, H Lee, J Shin CVPR 2023, 2023 | 1 | 2023 |