Yushi Lan

Achieving pose-controllable object insertion with high visual fidelity, DIRECT redefines the boundaries of 2D image synthesis by integrating 3D manipulation.

ClothTransformer achieves state-of-the-art cloth simulation by learning a unified latent space, allowing a single model to handle diverse scenarios and mesh resolutions with significantly improved accuracy and collision handling.

Training on Syn4D could unlock breakthroughs in dynamic scene understanding, where current datasets fall short in providing dense, complete, and accurate geometric annotations.

Unlock real-time 4D scene understanding from monocular video with a novel "encode-once, query-anywhere and anytime" framework that jointly models geometry and motion.