Ryan Po

According to our database, Ryan Po authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines.

Ryan Po, David Junhao Zhang, Amir Hertz, Gordon Wetzstein, Neal Wadhwa, Nataniel Ruiz

CoRR, March, 2026

2025

BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models.

Ryan Po, Eric Ryan Chan, Changan Chen, Gordon Wetzstein

CoRR, December, 2025

Video World Models with Long-term Spatial Memory.

Tong Wu, Shuai Yang, Ryan Po, Yinghao Xu, Ziwei Liu, Dahua Lin, Gordon Wetzstein

CoRR, June, 2025

Long-Context State-Space Video World Models.

Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization.

Yuanhe Guo, Linxi Xie, Zhuoran Chen, Kangrui Yu, Ryan Po, Guandao Yang, Gordon Wetztein, Hongyi Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

State of the Art on Diffusion Models for Visual Computing.

Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein

Comput. Graph. Forum, May, 2024

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models.

Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang, Jiaqi Wang, Ziwei Liu, Dahua Lin, Gordon Wetzstein

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Flying with Photons: Rendering Novel Views of Propagating Light.

Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell

Proceedings of the Computer Vision - ECCV 2024, 2024

Orthogonal Adaptation for Modular Customization of Diffusion Models.

Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Gaussian Shell Maps for Efficient 3D Human Generation.

Rameen Abdal, Yifan Wang, Zifan Shi, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Compositional 3D Scene Generation using Locally Conditioned Diffusion.

Ryan Po, Gordon Wetzstein

Proceedings of the International Conference on 3D Vision, 2024

2023

Instant Continual Learning of Neural Radiance Fields.

Ryan Po, Zhengyang Dong, Alexander W. Bergman, Gordon Wetzstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

3D Neural Field Generation Using Triplane Diffusion.

J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein

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

2022

Adaptive Gating for Single-Photon 3D Imaging.

Ryan Po, Adithya Pediredla, Ioannis Gkioulekas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022