1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.GR2025★ 1 cited
LuxDiT: Lighting Estimation with Video Diffusion Transformer
Ruofan Liang, Kai He, Zan Gojcic +4
Estimating scene lighting from a single image or video remains a longstanding challenge in computer vision and graphics. Learning-based approaches are constrained by the scarcity o…
cs.CV2025
UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
Kai He, Ruofan Liang, Jacob Munkberg +7
We address the challenge of relighting a single image or video, a task that demands precise scene intrinsic understanding and high-quality light transport synthesis. Existing end-t…
cs.CV2024
CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion
Kai He, Chin-Hsuan Wu, Igor Gilitschenski
Recent advances in 3D representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have greatly improved realistic scene modeling and novel-view synthesis. However, a…