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
  ☆75Updated 4 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 / GraphSIM
  Implementation of GraphSIM
  ☆20Updated 3 years ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆186Updated 2 years ago
• lyqun / PU-Net_pytorch
  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
  ☆93Updated last year
• 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
  ☆110Updated 9 months ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆86Updated 2 years ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about learned point cloud compression.
  ☆117Updated 2 months ago
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆32Updated last year
• mmspg / pointssim
  ☆48Updated 2 years ago
• YanWei123 / Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds
  Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
  ☆19Updated 4 years ago
• mauriceqch / pcc_geo_cnn
  Learning Convolutional Transforms for Point Cloud Geometry Compression
  ☆48Updated 5 years ago
• ninaqy / Flexible-PU
  This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
  ☆13Updated 3 years ago
• dattnguyenx / VoxelDNN
  Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"
  ☆36Updated 4 years ago
• jokieleung / TransPCC
  the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"
  ☆13Updated 3 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆43Updated 8 months 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
• tourlics / learned_PCC
  deep-learning based point cloud compression methods.
  ☆26Updated 4 years ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• phermosilla / TotalDenoising
  Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
  ☆75Updated 2 years ago
• NJUVISION / PCGCv2
  Multiscale Point Cloud Geometry Compression
  ☆109Updated 2 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆32Updated 2 years ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆127Updated 4 years ago
• zwb0 / PointLIE
  PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
  ☆18Updated 4 years ago
• hikvision-research / 3DVision
  ☆54Updated last year
• paul007pl / VRCNet
  [CVPR 2021 Oral] Variational Relational Point Completion Network
  ☆169Updated 3 years ago
• InterDigitalInc / TearingNet
  Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"
  ☆27Updated 4 years ago
• ShiQiu0419 / pnp-3d
  PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
  ☆45Updated 3 years ago