Alternatives and similar repositories for RA-GFT:

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

• mmspg / pointssim
  ☆44Updated 2 years ago
• NJUVISION / GraphSIM
  Implementation of GraphSIM
  ☆19Updated 2 years ago
• mauriceqch / pcc_attr_folding
  Folding-based compression of point cloud attributes
  ☆13Updated 4 years ago
• mauriceqch / pcc_geo_cnn_v2
  Improved Deep Point Cloud Geometry Compression
  ☆67Updated 3 years ago
• diegovalsesia / GPDNet
  Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
  ☆30Updated 4 years ago
• zwb0 / PointLIE
  PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
  ☆18Updated 3 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆37Updated 3 weeks ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆68Updated last year
• yydlmzyz / PCGCv2
  Multiscale Point Cloud Compression
  ☆26Updated 3 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆31Updated 2 years ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆124Updated 3 years ago
• NJUVISION / PCGCv1
  Point Cloud Geometry Compression
  ☆43Updated 2 years ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about deep point cloud compression.
  ☆94Updated 3 months ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• multimedialabsfu / learned-point-cloud-compression-for-classification
  [MMSP 2023, PCS 2024]
  ☆18Updated 10 months ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆176Updated 2 years ago
• ninaqy / PUGeo
  ☆27Updated 2 years ago
• ninaqy / Flexible-PU
  This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
  ☆13Updated 3 years ago
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆31Updated 9 months ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆38Updated last year
• ShiQiu0419 / pnp-3d
  PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
  ☆40Updated 2 years ago
• tourlics / learned_PCC
  deep-learning based point cloud compression methods.
  ☆26Updated 3 years ago
• YanWei123 / Deep-AutoEncoder-based-Lossy-Geometry-Compression-for-Point-Clouds
  Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds.
  ☆18Updated 4 years ago
• hikvision-research / 3DVision
  ☆51Updated last year
• RuixiangXue / NeRI
  Official Implementation of "NeRI: Implicit Neural Representation Of LiDAR Point Cloud Using Range Image Sequence"
  ☆10Updated 10 months ago
• NJUVISION / SparsePCGC
  Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
  ☆81Updated last month
• mmspg / point-cloud-angular-similarity-metric
  ☆21Updated 3 years ago
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆104Updated last month
• jzengust / ldmm_graph_laplacian_pointcloud_denoise
  3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
  ☆34Updated 5 years ago
• zb12138 / PointCloud-Octree-Compression-
  Matlab code for PointCloud Octree Compression
  ☆16Updated 2 years ago