Sihyun Yu

32 papers A* 12Journal 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.
CoRR
Shenyuan Gao, William Liang, Kaiyuan Zheng, Ayaan Malik, Seonghyeon Ye, Sihyun Yu, Wei-Cheng Tseng, Yuzhu Dong, Kaichun Mo, Chen-Hsuan Lin, Qianli Ma, Seungjun Nah, Loic Magne, Jiannan Xiang, Yuqi Xie, Ruijie Zheng, Dantong Niu, You Liang Tan, K. R. Zentner, George Kurian, Suneel Indupuru, Pooya Jannaty, Jinwei Gu, Jun Zhang, Jitendra Malik, Pieter Abbeel, Ming-Yu Liu, Yuke Zhu, Joel Jang, Linxi "Jim" Fan
2026 J jnl
World Action Models are Zero-shot Policies.
CoRR
Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng, Shenyuan Gao, Sihyun Yu, George Kurian, Suneel Indupuru, You Liang Tan, Chuning Zhu, Jiannan Xiang, Ayaan Malik, Kyungmin Lee, William Liang, Nadun Ranawaka, Jiasheng Gu, Yinzhen Xu, Guanzhi Wang, Fengyuan Hu, Avnish Narayan, Johan Bjorck, Jing Wang, Gwanghyun Kim, Dantong Niu, Ruijie Zheng, Yuqi Xie, Jimmy Wu, Qi Wang, Ryan Julian, Danfei Xu, Yilun Du, Yevgen Chebotar, Scott Reed, Jan Kautz, Yuke Zhu, Linxi "Jim" Fan, Joel Jang
2025 J jnl
ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context.
CoRR
Huiwon Jang, Sihyun Yu, Heeseung Kwon, Hojin Jeon, Younggyo Seo, Jinwoo Shin
2025 A* conf
Controllable Human Image Generation with Personalized Multi-Garments.
CVPR
Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin
2025 J jnl
Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling.
CoRR
Kyungmin Lee, Sihyun Yu, Jinwoo Shin
2025 A* conf
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CVPR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2025 J jnl
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance.
CoRR
June Suk Choi, Kyungmin Lee, Sihyun Yu, Yisol Choi, Jinwoo Shin, Kimin Lee
2025 J jnl
Learning Flexible Forward Trajectories for Masked Molecular Diffusion.
CoRR
Hyunjin Seo, Taewon Kim, Sihyun Yu, Sungsoo Ahn
2025 J jnl
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation.
CoRR
Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David A. Ross, Jonathan Huang
2025 A* conf
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
ICLR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2024 J jnl
Controllable Human Image Generation with Personalized Multi-Garments.
CoRR
Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin
2024 A* conf
Data-Efficient Molecular Generation with Hierarchical Textual Inversion.
ICML
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
2024 J jnl
Data-Efficient Molecular Generation with Hierarchical Textual Inversion.
CoRR
Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin
2024 J jnl
Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.
CoRR
Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo
2024 A* conf
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.
ICLR
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
2024 J jnl
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.
CoRR
Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar
2024 J jnl
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.
CoRR
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
2023 J jnl
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations.
CoRR
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.
CVPR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 J jnl
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck.
CoRR
Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin
2023 A* conf
Learning Large-scale Neural Fields via Context Pruned Meta-Learning.
NeurIPS
Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz
2023 A* conf
Video Probabilistic Diffusion Models in Projected Latent Space.
CVPR
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2023 J jnl
Video Probabilistic Diffusion Models in Projected Latent Space.
CoRR
Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin
2022 A* conf
Consistency Regularization for Adversarial Robustness.
AAAI
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2022 A* conf
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
ICLR
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022 J jnl
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.
CoRR
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
2022 A* conf
Scalable Neural Video Representations with Learnable Positional Features.
NeurIPS
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2022 J jnl
Scalable Neural Video Representations with Learnable Positional Features.
CoRR
Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin
2021 J jnl
Abstract Reasoning via Logic-guided Generation.
CoRR
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021 J jnl
Consistency Regularization for Adversarial Robustness.
CoRR
Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
2021 A* conf
RoMA: Robust Model Adaptation for Offline Model-based Optimization.
NeurIPS
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
2021 J jnl
RoMA: Robust Model Adaptation for Offline Model-based Optimization.
CoRR
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin