Ryan D. Burgert

According to our database, Ryan D. Burgert authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

MotionV2V: Editing Motion in a Video.

Ryan D. Burgert, Charles Herrmann, Forrester Cole, Michael S. Ryoo, Neal Wadhwa, Andrey Voynov, Nataniel Ruiz

CoRR, November, 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures.

Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu

CoRR, October, 2025

Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures.

Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Tasel, Yiwei Zhao, Ryan D. Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul E. Debevec, Ning Yu

Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

Infinite-Resolution Integral Noise Warping for Diffusion Models.

Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise.

Ryan D. Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael S. Ryoo, Paul E. Debevec, Ning Yu

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

2024

DifFRelight: Diffusion-Based Facial Performance Relighting.

Mingming He, Pascal Clausen, Ahmet Levent Tasel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan D. Burgert, Ning Yu, Paul E. Debevec

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Diffusion Illusions: Hiding Images in Plain Sight.

Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying.

Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo

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

2022

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors.

Ryan D. Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

CoRR, 2022

Neural Neural Textures Make Sim2Real Consistent.

Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

CoRR, 2022

TRITON: Neural Neural Textures for Better Sim2Real.

Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

Proceedings of the Conference on Robot Learning, 2022