BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models Ryan Po, Eric Ryan Chan, Changan Chen, Gordon Wetzstein CVPR, 2026 project page / arXiv
	Long-Context State-Space Video World Models Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang ICCV, 2025 project page / arXiv
	Video World Models with Long-term Spatial Memory Tong Wu*, Shuai Yang*, Ryan Po, Yinghao Xu, Ziwei Liu, Dahua Lin, Gordon Wetzstein NeurIPS, 2025 project page / arXiv
	Orthogonal Adaptation for Modular Customization of Diffusion Models Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein CVPR, 2024 (Highlight) project page / pdf
	Gaussian Shell Maps for Efficient 3D Human Generation Rameen Abdal*, Wang Yifan*, Zifan Shi*, Yinghao Xu, Ryan Po, Zhengfei Kuang, Qifeng Chen, Dit-Yan Yeung, Gordon Wetzstein CVPR, 2024 project page / pdf
	Compositional 3D Scene Generation using Locally Conditioned Diffusion Ryan Po, Gordon Wetzstein 3DV, 2024 project page / arXiv
	State of the Art on Diffusion Models for Visual Computing Ryan Po*, Wang Yifan*, Vladislav Golyanik*, Kfir Aberman, Jon Barron, Amit Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Niessner, Bjorn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein Eurographics STAR arXiv
	3D Neural Field Generation using Triplane Diffusion J. Ryan Shue*, Eric Ryan Chan*, Ryan Po*, Zachary Ankner*, Jiajun Wu, Gordon Wetzstein CVPR, 2023 project page / arXiv
	Adaptive Gating for Single-Photon 3D Imaging Ryan Po, Adithya Pediredla, Ioannis Gkioulekas CVPR, 2022 (Oral Presentation) project page / arXiv