3 papers
cs.CV2026
Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
Shuailei Ma, Jiaqi Liao, Xinyang Wang +24
Despite the recent promise in robot control, video generative models suffer from a domain mismatch due to their primary focus on content creation. For example, their design inheren…
cs.CV2026
HeadLighter: Disentangling Illumination in Generative 3D Gaussian Heads via Lightstage Captures
Yating Wang, Yuan Sun, Xuan Wang +6
Recent 3D-aware head generative models based on 3D Gaussian Splatting achieve real-time, photorealistic and view-consistent head synthesis. However, a fundamental limitation persis…
cs.CV2025
Generalizable and Relightable Gaussian Splatting for Human Novel View Synthesis
Yipengjing Sun, Shengping Zhang, Chenyang Wang +3
We propose GRGS, a generalizable and relightable 3D Gaussian framework for high-fidelity human novel view synthesis under diverse lighting conditions. Unlike existing methods that…