Sihyun Yu

According to our database, Sihyun Yu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance.

June Suk Choi, Kyungmin Lee, Sihyun Yu, Yisol Choi, Jinwoo Shin, Kimin Lee

CoRR, June, 2025

Learning Flexible Forward Trajectories for Masked Molecular Diffusion.

Hyunjin Seo, Taewon Kim, Sihyun Yu, Sungsoo Ahn

CoRR, May, 2025

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation.

Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David A. Ross, Jonathan Huang

CoRR, February, 2025

Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.

Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Controllable Human Image Generation with Personalized Multi-Garments.

Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Data-Efficient Molecular Generation with Hierarchical Textual Inversion.

Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.

Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations.

Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

CoRR, 2023

Learning Large-scale Neural Fields via Context Pruned Meta-Learning.

Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Video Probabilistic Diffusion Models in Projected Latent Space.

Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck.

Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Scalable Neural Video Representations with Learnable Positional Features.

Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks.

Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin

Proceedings of the Tenth International Conference on Learning Representations, 2022

Consistency Regularization for Adversarial Robustness.

Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Abstract Reasoning via Logic-guided Generation.

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin

CoRR, 2021

RoMA: Robust Model Adaptation for Offline Model-based Optimization.

Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021