3D-Reconstruction-List
3D Reconstruction List
- 2017-Awesome 3D reconstruction list 🗃️: A curated list of papers & resources linked to 3D reconstruction from images.
OpenSource
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2017-PolyFit : PolyFit implements the hypothesis and selection based surface reconstruction method described in the following paper.
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2018-pointcloudToMesh : C++ application to convert pcd file, ply file, txt file or xyz point cloud to MESH representation (Gp3).
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2019-completion3d : Source code for baselines of the Stanford 3D Point Cloud Completion Benchmark (completion3d.stanford.edu) and TopNet: Structural Point Cloud Decoder, CVPR 2019
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2020-Point2Mesh : Point2Mesh is a technique for reconstructing a surface mesh from an input point cloud. This approach “learns” from a single object, by optimizing the weights of a CNN to deform some initial mesh to shrink-wrap the input point cloud. The argument for going this route is: since the (local) convolutional kernels are optimized globally across the entire shape, this encourages local-scale geometric self-similarity across the reconstructed shape surface.
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2021-pcdmeshing : pcdmeshing is a Python package to reconstruct meshes from point clouds using CGAL.