activity
20222026
most citedLuxDiT: Lighting Estimation with Video Diffusion Transformer

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation

NVIDIA, :, Aarti Basant +33

As autonomous vehicle capabilities advance, the safe evaluation of driving policies in long-tail scenarios remains a critical bottleneck. In closed-loop simulation, the driving pol…

cs.CV2026

Lyra 2.0: Explorable Generative 3D Worlds

Tianchang Shen, Sherwin Bahmani, Kai He +12

Recent advances in video generation enable a new paradigm for 3D scene creation: generating camera-controlled videos that simulate scene walkthroughs, then lifting them to 3D via f…

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…

cs.CV2024★ 1 cited

DressCode: Autoregressively Sewing and Generating Garments from Text Guidance

Kai He, Kaixin Yao, Qixuan Zhang +3

Apparel's significant role in human appearance underscores the importance of garment digitalization for digital human creation. Recent advances in 3D content creation are pivotal f…

cs.CV2022

Relightable Neural Human Assets from Multi-view Gradient Illuminations

Taotao Zhou, Kai He, Di Wu +6

Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…