Revisiting Triplet Contrastive Learning for 3D Shape Understanding.

arXiv:2610.19519v1 Announce Type: new Abstract: In multi-modal 3D pre-training, aligning 3D shapes, their 2D image counterparts, and language descriptions has made tremendous progress. However, we find that supervision from rendered images is unreliable, the s