Jia Deng

[Princeton Vision & Learning Lab @PrincetonVL]

Stereo depth is highly useful for robots. Meet WAFT-Stereo: #1 on ETH3D (BP-0.5), Middlebury (RMSE), and KITTI (all metrics); 61% less zero-shot ETH3D BP-0.5 error; 1.8-6.7x faster than prior SOTA. Key idea: classify disparity into bins, then iterative high-res warping.🧵1/2

[Princeton Vision & Learning Lab @PrincetonVL]

Data drives progress in computer vision. We introduce Infinigen: a generator of unlimited high-quality 3D data. 100% procedural, no external assets, no AI. Free and open source.

Intro video: https://t.co/ER9zz1flxm
Code: https://t.co/WpeGIoPeo1
CVPR23: Wed 4:30PM, Poster 27

[Jia Deng @jiadeng]

Hello world!