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Home - RayNet RayNet Home RayNet: Learning Volumetric 3D Reconstruction Code Documentation Citation License Documentation Installation Getting started Console applications Contribution Code Walkthrough Examples Designing and training your own Multi-View CNN Qualitative Results from DTU Dataset Qualitative Results from Aerial Dataset   RayNet Docs » Home Edit on GitHub RayNet: Learning Volumetric 3D Reconstruction Recent methods based on Convolutional Neural Networks (CNN) allow learning the 3D Reconstruction task directly from data. However, they do not incorporate the physics of the image formation such as perspective geometry and occlusion. Instead, classical approaches based on Markov Random Fields (MRF) with ray-potentials explicitly model these physical processes, but they cannot cope with large surface appearance variations across different viewpoints. In this paper, we propose RayNet , which combines the strengths of both...

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