Alternatives and similar repositories for dpf-nets

Users that are interested in dpf-nets are comparing it to the libraries listed below

• syb7573330 / PointGrow
  An autoregressive model for point cloud generation augmented with self-attention
  ☆27Updated 5 years ago
• diegovalsesia / GraphCNN-GAN
  Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…
  ☆59Updated 5 years ago
• chunliangli / Point-Cloud-GAN
  The code for Point Cloud GAN
  ☆68Updated 5 years ago
• xuelin-chen / pcl2pcl-gan-pub
  Unpaired Point Cloud Completion on Real Scans using Adversarial Training
  ☆92Updated 4 years ago
• matheusgadelha / MRTNet
  Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)
  ☆44Updated 6 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆194Updated 3 years ago
• yifita / 3PU_pytorch
  pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
  ☆77Updated 5 years ago
• fpthink / PDGN
  Progressive Point Cloud Deconvolution Generation Network (PDGN)
  ☆28Updated 3 years ago
• XuyangBai / FoldingNet
  PyTorch reimplementation of FoldingNet
  ☆37Updated 5 years ago
• XLechter / Detail-Preserved-Point-Cloud-Completion-via-SFA
  Code for the ECCV 2020 paper: Detail Preserved Point Cloud Completion via Separated Feature Aggregation
  ☆61Updated 2 years ago
• YanWei123 / Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti
  ☆20Updated 6 years ago
• liruihui / Reading_List
  ☆61Updated 3 years ago
• ChrisWu1997 / Multimodal-Shape-Completion
  code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"
  ☆107Updated last year
• charusharma1991 / SSL_PointClouds
  ☆34Updated 4 years ago
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• microsoft / SpareNet
  Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)
  ☆147Updated 2 years ago
• dahliau / DPDist
  DPDist : Comparing Point Clouds Using Deep Point Cloud Distance (ECCV2020)
  ☆63Updated 3 years ago
• orendv / learning_to_sample
  A learned sampling approach for point clouds (CVPR 2019)
  ☆179Updated last year
• xiaogangw-zz / cascaded-point-completion
  ☆60Updated 4 years ago
• Wuziyi616 / IF-Defense
  This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restora…
  ☆67Updated 3 years ago
• InterDigitalInc / TearingNet
  Source code for the paper "TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations"
  ☆27Updated 3 years ago
• daerduoCarey / pt2pc
  PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
  ☆47Updated 4 years ago
• MingyeXu / GS-Net
  Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
  ☆51Updated 5 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 4 years ago
• NNU-GISA / TreeGAN
  3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
  ☆48Updated 5 years ago
• lebrat / MongeNet
  MongeNet sampler official implementation
  ☆13Updated 3 years ago
• fei960922 / GPointNet
  Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation,…
  ☆35Updated 4 years ago
• kentfuji / NeuralEmbedding
  Author's Implementation for CVPR 2020 'Neural Implicit Embedding for Point Cloud Analyisis'
  ☆18Updated 4 years ago
• MaciejZamorski / 3d-AAE
  Adversarial Autoencoders for Compact Representations of 3D Point Clouds
  ☆74Updated 3 years ago
• luost26 / DMRDenoise
  Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)
  ☆126Updated 3 years ago