Alternatives and similar repositories for Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds

Users that are interested in Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds are comparing it to the libraries listed below

• mauriceqch / pcc_attr_folding
  Folding-based compression of point cloud attributes
  ☆12Updated 4 years ago
• mauriceqch / pcc_geo_cnn
  Learning Convolutional Transforms for Point Cloud Geometry Compression
  ☆48Updated 5 years ago
• NJUVISION / PCGCv1
  Point Cloud Geometry Compression
  ☆43Updated 2 years ago
• mauriceqch / pcc_geo_cnn_v2
  Improved Deep Point Cloud Geometry Compression
  ☆75Updated 4 years ago
• mauriceqch / 2021_pc_perceptual_loss
  A deep perceptual metric for 3D point clouds
  ☆14Updated 4 years ago
• dattnguyenx / VoxelDNN
  Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"
  ☆36Updated 4 years ago
• NJUVISION / PCGCv2
  Multiscale Point Cloud Geometry Compression
  ☆108Updated last year
• mmspg / pcc-geo-color
  Learning-based compression of point cloud geometry and color
  ☆6Updated 3 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
• jokieleung / TransPCC
  the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"
  ☆13Updated 3 years ago
• mmspg / point-cloud-angular-similarity-metric
  ☆21Updated 4 years ago
• InterDigitalInc / PccAI
  PccAI is a framework for AI-based point cloud compression
  ☆35Updated 3 months ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about learned point cloud compression.
  ☆111Updated this week
• digitalivp / RAHT
  This code implements an improved version of the RAHT-rlgr coder and decoder as described by Queiroz and Chou.
  ☆34Updated 5 years ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆33Updated last year
• NJUVISION / GraphSIM
  Implementation of GraphSIM
  ☆20Updated 3 years ago
• MEPP-team / PC-MSDM
  ☆13Updated 5 years ago
• yifita / 3PU_pytorch
  pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
  ☆78Updated 5 years ago
• NJUVISION / SparsePCGC
  Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
  ☆91Updated 7 months ago
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆110Updated 7 months ago
• tourlics / learned_PCC
  deep-learning based point cloud compression methods.
  ☆25Updated 4 years ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆71Updated 2 years ago
• mmspg / pointssim
  ☆48Updated 2 years ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆184Updated 2 years ago
• STAC-USC / RA-GFT
  region adaptive graph fourier transform for 3d point clouds
  ☆19Updated 2 years ago
• AlirezaJav / IRPC-Dataset
  IST Rendered Point Cloud Quality Assessment Dataset
  ☆7Updated 3 years ago
• AlirezaJav / Point_to_distribution_metric
  A metric to evaluate geometry distortions in decoded point clouds
  ☆13Updated last year
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆84Updated 2 years ago
• ninaqy / PUGeo
  ☆27Updated 3 years ago