Ryan D. Burgert

17 papers A* 6Misc 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CVPR 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
2025	J	`jnl`	Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. CoRR 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
2025	A*	`conf`	Infinite-Resolution Integral Noise Warping for Diffusion Models. ICLR Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2025	A*	`conf`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. ICLR 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
2025	J	`jnl`	MotionV2V: Editing Motion in a Video. CoRR Ryan D. Burgert, Charles Herrmann, Forrester Cole, Michael S. Ryoo, Neal Wadhwa, Andrey Voynov, Nataniel Ruiz
2025	J	`jnl`	Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures. CoRR 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
2025	A*	`conf`	Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Volumetric Performance Captures. SIGGRAPH Asia 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
2024	A*	`conf`	DifFRelight: Diffusion-Based Facial Performance Relighting. SIGGRAPH Asia 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
2024	J	`jnl`	DifFRelight: Diffusion-Based Facial Performance Relighting. CoRR 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
2024	—	`conf`	Diffusion Illusions: Hiding Images in Plain Sight. SIGGRAPH (Conference Paper Track) Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo
2024	J	`jnl`	Infinite-Resolution Integral Noise Warping for Diffusion Models. CoRR Yitong Deng, Winnie Lin, Lingxiao Li, Dmitriy Smirnov, Ryan D. Burgert, Ning Yu, Vincent Dedun, Mohammad H. Taghavi
2024	J	`jnl`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR 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
2024	A*	`conf`	MAGICK: A Large-Scale Captioned Dataset from Matting Generated Images Using Chroma Keying. CVPR Ryan D. Burgert, Brian L. Price, Jason Kuen, Yijun Li, Michael S. Ryoo
2023	J	`jnl`	Diffusion Illusions: Hiding Images in Plain Sight. CoRR Ryan D. Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo
2022	J	`jnl`	Neural Neural Textures Make Sim2Real Consistent. CoRR Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo
2022	J	`jnl`	Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors. CoRR Ryan D. Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo
2022	Misc	`conf`	TRITON: Neural Neural Textures for Better Sim2Real. CoRL Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo