DUSt3R: Geometric 3D Vision Made Easy

Understand

Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera parameters e.g.

• intrinsic and extrinsic parameters.
• These are usually tedious and cumbersome to obtain, yet they are mandatory to triangulate corresponding pixels in 3D space, which is the core of all best performing MVS algorithms.
• In this work, we take an opposite stance and introduce DUSt3R, a radically novel paradigm for Dense and Unconstrained Stereo 3D Reconstruction of arbitrary image collections, i.e.