

Dust3r
Overview :
DUSt3R is a novel dense and unconstrained stereo 3D reconstruction method applicable to any image set. It does not require prior knowledge of camera calibration or viewpoint pose information. By treating the pairwise reconstruction problem as a point cloud regression, DUSt3R relaxes the strict constraints of traditional projective camera models. DUSt3R provides a unified approach for both monocular and binocular reconstruction and proposes a simple and effective global alignment strategy for multi-image cases. The network architecture is built based on standard Transformer encoder and decoder, leveraging the power of pre-trained models. DUSt3R directly provides the 3D model and depth information of the scene and can recover pixel-wise matches, relative and absolute camera information from it.
Target Users :
3D Modeling, Computer Vision, Image Processing
Use Cases
Use DUSt3R to reconstruct a 3D model of a historic building from a set of photographs.
At an archaeological site, rapidly reconstruct the 3D shape of unearthed artifacts using DUSt3R.
In film production, use DUSt3R to create 3D models of scenes for special effects.
Features
Multi-view 3D Reconstruction
No Camera Calibration Information Required
Global Alignment Strategy
Provides 3D Model and Depth Information
Recovers Pixel-wise Matches and Camera Information
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