Jointly generating object shapes and camera poses improves sparse-view reconstruction

GenSfM combines 3D diffusion with camera estimation, improving geometry and novel-view rendering from four uncalibrated images on two object benchmarks.

Chinese Tech
Haobin Duan · Binbin Huang · Mochu Xiang · Yiqun Zhao · Zibo Zhao · Yi Ma · +1 more

The University of Hong Kong · Transengram · Tencent

Research Digest··2 min read
Illustration: Jointly generating object shapes and camera poses improves sparse-view reconstruction
Duan et al. introduce GenSfM, a system that estimates a complete 3D object and the cameras that photographed it from a few images, without supplied camera calibration.

The authors built a diffusion transformer that jointly refines compressed representations of object shape and per-image camera pose.

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