#self-supervised

• 4 Mar 2026 · Paper summary

  Paper summary: Utonia: Toward One Encoder for All Point Clouds

  Utonia trains one self-supervised point-transformer encoder across very different point-cloud domains (remote sensing, LiDAR, indoor RGB-D, CAD, video-lifted points), and its features also help robot policies and spatial reasoning in VLMs.

• 18 Aug 2025 · Paper summary

  Paper summary: DINOv3

  DINOv3 scales self-supervised vision training and introduces Gram anchoring to stop dense feature maps from degrading during long training, producing a frozen backbone that beats specialised models across many tasks.