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Ryousuke Yamada

1 accepted papers

2026

3D sans 3D Scans: Scalable Pre-training from Video-Generated Point Clouds

CVPR 2026

Despite recent progress in 3D self-supervised learning, collecting large-scale 3D scene scans remains expensive and labor-intensive. In this work, we investigate whether 3D representations can be learned from unlabeled videos recorded without any real 3D sensors. We present Laplacian-Aware Multi-lev

Cited by 0SourcecodeScholar