CVPR 2025 Best Paper: Visual Geometry Grounded Transformer (VGGT) ❤️ 🏆

VGGT shows that multi-view 3D reconstruction can be handled by a single feed-forward transformer, without relying on heavy test-time optimization. 🚀

Given one to hundreds of images, VGGT jointly predicts camera parameters 📷, depth maps, viewpoint-invariant point maps, and tracking features in a single forward pass. ⚡️

By combining DINO-based image tokenization, explicit camera tokens, and alternating frame-wise and global self-attention, the model learns multi-view geometry with minimal inductive bias. 🧠✨

https://t.me/DataScienceM 🩵