Alternatives and similar repositories for SPU:

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

• xnowbzhao / PU-SSAS
  Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling (TPAMI 2023)
  ☆14Updated last year
• zb12138 / OctAttention
  Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
  ☆108Updated 4 months ago
• XLechter / SDT
  Codes for Point Cloud Completion via Skeleton-Detail Transformer
  ☆26Updated last year
• aniqueakhtar / PointCloudUpsampling
  ☆41Updated 4 months ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆39Updated last year
• I2-Multimedia-Lab / PCC_Patch
  (ACM MM ASIA 2021) Patch-Based Deep Autoencoder for Point Cloud Geometry Compression.
  ☆32Updated last year
• pengpeng-yu / FastPCC
  Fast learning-based Point Cloud lossy Compression in our ICME 2023 and TMM papers and other improvements
  ☆17Updated this week
• multimedialabsfu / learned-point-cloud-compression-for-classification
  [MMSP 2023, PCS 2024]
  ☆19Updated last year
• unknownue / puflow
  PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows (TVCG 2022)
  ☆7Updated 2 years ago
• zlichen / PCC-S
  [ECCV2022] Point Cloud Compression with Sibling Context and Surface Priors
  ☆28Updated 2 years ago
• yunhe20 / D-PCC
  This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
  ☆69Updated 2 years ago
• yydlmzyz / PCGCv2
  Multiscale Point Cloud Compression
  ☆26Updated 4 years ago
• arsx958 / PCT_PCC
  ☆13Updated 2 years ago
• I2-Multimedia-Lab / Pointsoup
  [IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
  ☆20Updated 7 months ago
• zademn / PU-GCN-pytorch
  Rewriting the PU-GCN paper in pytorch and enhancing it
  ☆20Updated last year
• hrzhou2 / AdaptConv-master
  Adaptive Graph Convolution for Point Cloud Analysis
  ☆116Updated 3 years ago
• HaolinLiu97 / PUGAN-pytorch
  Pytorch unofficial implementation of PUGAN (a Point Cloud Upsampling Adversarial Network, ICCV, 2019)
  ☆82Updated 2 years ago
• zzc-1998 / MM-PCQA
  Official repo for 'MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment' IJCAI2023
  ☆27Updated last year
• pleaseconnectwifi / Meta-PU
  Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud (TVCG 2021)
  ☆34Updated 4 years ago
• yunhe20 / Grad-PU
  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…
  ☆78Updated last year
• lyz21 / SPU-PMD
  SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation (CVPR 2024)
  ☆7Updated 2 months ago
• APRIL-ZJU / 3QNet
  [SIGGRAPH Asia'22] The codes of 3QNet: 3D Point Cloud Geometry Quantization Compression Network
  ☆17Updated 2 years ago
• fatPeter / ThreeDAC
  ☆24Updated last year
• hikvision-research / 3DVision
  ☆51Updated last year
• lyqun / PU-Net_pytorch
  PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018
  ☆92Updated last year
• cognaclee / PCC-COT
  ☆14Updated 5 months ago
• InterDigitalInc / GRASP-Net
  Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for Point Cloud Compression"
  ☆31Updated 2 years ago
• BingHan0458 / PU-GACNet
  PU-GACNet
  ☆14Updated 2 years ago
• mmmmimic / diffConvNet
  PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV'22)
  ☆28Updated last year
• ttlzfhy / D-DPCC
  The codes of D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.
  ☆32Updated 2 months ago