Topic: point-cloud-reconstruction Goto Github
Some thing interesting about point-cloud-reconstruction
Some thing interesting about point-cloud-reconstruction
point-cloud-reconstruction,Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud data. Written in Qt C++, using Eigen, OpenMP, and OpenGL.
User: codearxiv
point-cloud-reconstruction,Dynamic geometric methods with convolutional occupancy networks
User: daniil-777
point-cloud-reconstruction,[ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"
User: lifebeyondexpectations
point-cloud-reconstruction,Code for Point Cloud Generation
User: sid2697
point-cloud-reconstruction,High-Fidelity 3D Reconstruction via Graph Optimization. A Multi-Frame Registration and reconstruction algorithm.
User: zhijianglu
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