point-cloud-reconstruction

There are 6 repositories under point-cloud-reconstruction topic.

  • LifeBeyondExpectations/ECCV22-PointMixer

    [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"

    Language:Python10311012

  • codearxiv/PCReconstruct

    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.

    Language:C++40328

  • zhijianglu/HF-Recon

    High-Fidelity 3D Reconstruction via Graph Optimization. A Multi-Frame Registration and reconstruction algorithm.

    Language:C++14200

  • Sid2697/Fill_missing

    Code for Point Cloud Generation

    Language:Python310

  • daniil-777/dynamic_geo_convolutional_onet

    Dynamic geometric methods with convolutional occupancy networks

    Language:Jupyter Notebook1100

  • AHHHZ975/Monocular3DPointCloudReconstruction

    The official implementation of the paper titled "A High-Performance Learning-Based Framework for Monocular 3D Point Cloud Reconstruction" accepted in the IEEE Journal of Radio Frequency Identification (JRFID) for 2024

    Language:Python0100