Alternatives and similar repositories for 2021_pc_perceptual_loss:

Users that are interested in 2021_pc_perceptual_loss are comparing it to the libraries listed below

• NJUVISION / PCGCv1
  Point Cloud Geometry Compression
  ☆43Updated 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_attr_folding
  Folding-based compression of point cloud attributes
  ☆13Updated 4 years ago
• yydlmzyz / PCGCv2
  Multiscale Point Cloud Compression
  ☆26Updated 4 years ago
• mauriceqch / pcc_geo_cnn_v2
  Improved Deep Point Cloud Geometry Compression
  ☆69Updated 3 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆31Updated 2 years ago
• NJUVISION / PCGCv2
  Multiscale Point Cloud Geometry Compression
  ☆104Updated last year
• dattnguyenx / VoxelDNN
  Tensorflow implementation of the paper "Learning-based Lossless Compression Of 3D Point Cloud Geometry"
  ☆36Updated 3 years ago
• InterDigitalInc / PccAI
  PccAI is a framework for AI-based point cloud compression
  ☆32Updated 2 years ago
• AlirezaJav / IRPC-Dataset
  IST Rendered Point Cloud Quality Assessment Dataset
  ☆7Updated 3 years ago
• mmspg / point-cloud-angular-similarity-metric
  ☆21Updated 4 years ago
• mmspg / pointxr-toolbox
  ☆10Updated 4 years ago
• mmspg / pcc-geo-color
  Learning-based compression of point cloud geometry and color
  ☆6Updated 3 years ago
• NJUVISION / SparsePCGC
  Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
  ☆85Updated 3 months ago
• multimedialabsfu / learned-point-cloud-compression-for-classification
  [MMSP 2023, PCS 2024]
  ☆19Updated last year
• dattnguyenx / CNeT
  A Torch implementation of attribute compression module from CNeT paper (T-CSVT)
  ☆12Updated last year
• jokieleung / TransPCC
  the Pytorch implementation for our ICMR 2022 paper "TransPCC: Towards Deep Point Cloud Compression via Transformers"
  ☆13Updated 2 years ago
• AlirezaJav / Point_to_distribution_metric
  A metric to evaluate geometry distortions in decoded point clouds
  ☆13Updated last year
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆108Updated 4 months ago
• mauriceqch / pcc_geo_cnn
  Learning Convolutional Transforms for Point Cloud Geometry Compression
  ☆45Updated 4 years ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆69Updated last year
• ChenxiTU / Point-cloud-compression-by-RNN
  Implementation of Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks
  ☆34Updated 5 years ago
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆32Updated 11 months ago
• mmspg / pointssim
  ☆46Updated 2 years ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about deep point cloud compression.
  ☆105Updated 6 months ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• digitalivp / RAHT
  This code implements an improved version of the RAHT-rlgr coder and decoder as described by Queiroz and Chou.
  ☆31Updated 4 years ago
• zb12138 / PointCloud-Octree-Compression-
  Matlab code for PointCloud Octree Compression
  ☆19Updated 3 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆38Updated 3 months ago
• tourlics / learned_PCC
  deep-learning based point cloud compression methods.
  ☆25Updated 3 years ago