Paper Discussion: VGGT: Visual Geometry Grounded Transformer

This paper introduces VGGT, a unified feed-forward model designed to handle multiple 3D scene understanding tasks—including depth estimation, camera pose prediction, and dense point cloud reconstruction—from single or multiple views.

By grounding transformer-based architectures in geometric reasoning, VGGT achieves strong performance across several benchmarks, offering a scalable solution without the need for post-processing.

Whether you're into 3D vision, robotics, or neural rendering, this session will unpack how VGGT pushes the boundaries of geometric learning.