Ryan Burgert

According to our database, Ryan Burgert authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Infinite-Resolution Integral Noise Warping for Diffusion Models.

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

CoRR, 2024

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 Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

CoRR, 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 Burgert, Ning Yu, Paul E. Debevec

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

Diffusion Illusions: Hiding Images in Plain Sight.

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

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

2022

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

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

CoRR, 2022

Neural Neural Textures Make Sim2Real Consistent.

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

CoRR, 2022

TRITON: Neural Neural Textures for Better Sim2Real.

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

Proceedings of the Conference on Robot Learning, 2022