Alternatives and similar repositories for RA-GFT

Users that are interested in RA-GFT are comparing it to the libraries listed below

• mauriceqch / pcc_geo_cnn_v2
  Improved Deep Point Cloud Geometry Compression
  ☆74Updated 4 years ago
• lyqun / PU-Net_pytorch
  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
  ☆93Updated last year
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆187Updated 2 years ago
• NJUVISION / GraphSIM
  Implementation of GraphSIM
  ☆20Updated 3 years ago
• mauriceqch / pcc_attr_folding
  Folding-based compression of point cloud attributes
  ☆12Updated 4 years ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆70Updated 2 years ago
• NJUVISION / PCGCv1
  Point Cloud Geometry Compression
  ☆42Updated 2 years ago
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆109Updated 10 months ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆86Updated 2 years ago
• mmspg / pointssim
  ☆48Updated 2 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆32Updated 3 years ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about learned point cloud compression.
  ☆117Updated 2 months ago
• mauriceqch / pcc_geo_cnn
  Learning Convolutional Transforms for Point Cloud Geometry Compression
  ☆47Updated 5 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆43Updated 9 months ago
• YanWei123 / Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds
  Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
  ☆19Updated 4 years ago
• NJUVISION / SparsePCGC
  Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
  ☆94Updated 10 months ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆127Updated 4 years ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆44Updated last year
• phermosilla / TotalDenoising
  Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
  ☆75Updated 2 years ago
• dattnguyenx / VoxelDNN
  Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"
  ☆36Updated 4 years ago
• ChenxiTU / Point-cloud-compression-by-RNN
  Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks
  ☆34Updated 6 years ago
• NJUVISION / PCGCv2
  Multiscale Point Cloud Geometry Compression
  ☆108Updated 2 years ago
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆32Updated last year
• paul007pl / VRCNet
  [CVPR 2021 Oral] Variational Relational Point Completion Network
  ☆171Updated 3 years ago
• hrzhou2 / AdaptConv-master
  Adaptive Graph Convolution for Point Cloud Analysis
  ☆122Updated 3 years ago
• diegovalsesia / GPDNet
  Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
  ☆30Updated 5 years ago
• antao97 / UnsupervisedPointCloudReconstruction
  Experiments on unsupervised point cloud reconstruction.
  ☆171Updated 3 years ago
• digitalivp / RAHT
  This code implements an improved version of the RAHT-rlgr coder and decoder as described by Queiroz and Chou.
  ☆36Updated 5 years ago
• orendv / learning_to_sample
  A learned sampling approach for point clouds (CVPR 2019)
  ☆179Updated last year