Alternatives and similar repositories for RA-GFT

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

• mmspg / pointssim
  ☆48Updated 2 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
• mauriceqch / pcc_geo_cnn_v2
  Improved Deep Point Cloud Geometry Compression
  ☆71Updated 3 years ago
• aniqueakhtar / PointCloudUpsampling
  ☆42Updated 5 months ago
• ninaqy / Flexible-PU
  This is the official implementation for "Deep Magnification-Flexible Upsampling over3D Point Clouds".
  ☆13Updated 3 years ago
• mauriceqch / pcc_attr_folding
  Folding-based compression of point cloud attributes
  ☆12Updated 4 years ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆40Updated last year
• ninaqy / PUGeo
  ☆27Updated 3 years ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆126Updated 3 years ago
• diegovalsesia / GPDNet
  Learning Graph-Convolutional Representations for Point Cloud Denoising (ECCV 2020)
  ☆30Updated 4 years ago
• NJUVISION / GraphSIM
  Implementation of GraphSIM
  ☆20Updated 3 years ago
• 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
• tourlics / learned_PCC
  deep-learning based point cloud compression methods.
  ☆25Updated 3 years ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆83Updated 2 years ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆31Updated 2 years ago
• corecai163 / PSCU
  [AAAI23] Parametric Surface Constrained Upsampler Network for Point Cloud
  ☆14Updated 10 months ago
• zwb0 / PointLIE
  PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery (IJCAI 2021)
  ☆18Updated 4 years ago
• guochengqian / PU-GCN
  [CVPR'21] PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks
  ☆180Updated 2 years ago
• jzengust / ldmm_graph_laplacian_pointcloud_denoise
  3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
  ☆37Updated 5 years ago
• kaiwangm / awesome-learned-point-cloud-compression
  A list of papers about deep point cloud compression.
  ☆107Updated 8 months ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• ShiQiu0419 / pnp-3d
  PnP-3D: A Plug-and-Play for 3D Point Clouds (TPAMI 2021)
  ☆44Updated 3 years ago
• gyshgx868 / feature-graph-learning
  The official MATLAB implementation of the paper "Feature Graph Learning for 3D Point Cloud Denoising".
  ☆24Updated 4 years ago
• unknownue / puflow
  PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows (TVCG 2022)
  ☆8Updated 2 years ago
• phermosilla / TotalDenoising
  Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
  ☆74Updated last year
• xnowbzhao / PU-SSAS
  Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling (TPAMI 2023)
  ☆14Updated last year
• unknownue / pdflow
  PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows (ECCV 2022)
  ☆25Updated 2 years ago
• hikvision-research / 3DVision
  ☆53Updated last year
• multimedialabsfu / learned-point-cloud-compression-for-classification
  [MMSP 2023, PCS 2024]
  ☆19Updated last year