Youquan Liu

Driving models can achieve near-perfect performance with just one denoising step by learning to predict visual motion directly, outperforming multi-step prediction models and achieving 3.29x inference speed.

U4D reveals that leveraging spatial uncertainty can drastically enhance the quality of LiDAR scene synthesis, achieving unprecedented fidelity and coherence.