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
  ☆76Updated 4 years ago
• mauriceqch / pcc_attr_folding
  Folding-based compression of point cloud attributes
  ☆12Updated 5 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
  ☆194Updated 2 years ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆74Updated 2 years ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆86Updated 2 years ago
• mmspg / pointssim
  ☆50Updated 3 years ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about learned point cloud compression.
  ☆129Updated 2 months ago
• YanWei123 / Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds
  Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
  ☆19Updated 5 years ago
• NJUVISION / GraphSIM
  Implementation of GraphSIM
  ☆20Updated 3 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆44Updated last year
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆131Updated 4 years ago
• NJUVISION / PCGCv1
  Point Cloud Geometry Compression
  ☆44Updated 3 years ago
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆32Updated last year
• mauriceqch / pcc_geo_cnn
  Learning Convolutional Transforms for Point Cloud Geometry Compression
  ☆47Updated 5 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
• dattnguyenx / VoxelDNN
  Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"
  ☆36Updated 4 years ago
• phermosilla / TotalDenoising
  Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
  ☆75Updated 2 years ago
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆112Updated last year
• BingHan0458 / PU-GACNet
  PU-GACNet
  ☆14Updated 3 years ago
• ninaqy / Flexible-PU
  This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
  ☆13Updated 4 years ago
• corecai163 / PSCU
  [AAAI23] Parametric Surface Constrained Upsampler Network for Point Cloud
  ☆16Updated last year
• CVMI-Lab / PAConv
  (CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
  ☆307Updated 2 years ago
• hrzhou2 / AdaptConv-master
  Adaptive Graph Convolution for Point Cloud Analysis
  ☆124Updated 4 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆33Updated 3 years ago
• paul007pl / VRCNet
  [CVPR 2021 Oral] Variational Relational Point Completion Network
  ☆170Updated 3 years ago
• fatPeter / ThreeDAC
  ☆25Updated 2 years ago
• ShiQiu0419 / pnp-3d
  PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
  ☆45Updated 3 years ago
• orendv / learning_to_sample
  A learned sampling approach for point clouds (CVPR 2019)
  ☆183Updated last year
• diegovalsesia / GPDNet
  Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
  ☆31Updated 5 years ago