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MASt3R – Matching and Stereo 3D Reconstruction
Dense and Unconstrained Stereo 3D Reconstruction (DUSt3R) is a novel breakthrough approach in 3D reconstruction that works without the camera parameters required by traditional processes.
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities. Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning.
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