Alternatives and similar repositories for ssl_3d_recon

Users that are interested in ssl_3d_recon 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
• Angtian / NeuralVS
  The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021](https://ar…
  ☆20Updated 3 years ago
• henzler / platonicgan
  Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]
  ☆44Updated 3 years ago
• tgxs002 / wikiscenes
  Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. ICCV 2021.
  ☆43Updated last year
• JiahuiLei / Pix2Surf
  ☆43Updated 4 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated last year
• davrempe / caspr
  Code for NeurIPS 2020 paper "CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations"
  ☆71Updated 2 years ago
• Gorilla-Lab-SCUT / LPDC-Net
  CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"
  ☆30Updated 3 years ago
• liufeng2915 / Implicit_Dense_Correspondence
  ☆60Updated 3 years ago
• TerenceCYJ / 4DContrast
  4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022
  ☆17Updated 2 years ago
• alexeybokhovkin / part-based-scan-understanding
  Towards Part-Based Understanding of RGB-D Scans
  ☆30Updated last month
• AsahiLiu / PointDetectron
  ☆19Updated 4 years ago
• AnjieCheng / CanonicalVAE
  [ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".
  ☆42Updated 2 years ago
• yifita / pytorch_points
  a pytorch extension for learning point clouds
  ☆35Updated 5 years ago
• SimingYan / Hybrid_Relative_Pose
  [CVPR 2020] "Extreme Relative Pose Network under Hybrid Representations"
  ☆24Updated 5 years ago
• chrischoy / HighDimConvNets
  [CVPR 2020 Oral] High-dimensional Convolutional Networks for Geometric Pattern Recognition
  ☆40Updated 3 years ago
• drsrinathsridhar / xnocs
  Multiview Aggregation for Learning Category-Specific Shape Reconstruction, NeurIPS 2019
  ☆39Updated 5 years ago
• nileshkulkarni / scene_drdf
  Website and Code for Directed Ray Distance Functions for 3D Scene Reconstruction
  ☆38Updated last year
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• shamitlal / CoCoNets
  ☆26Updated 2 years ago
• myavartanoo / 3DIAS_PyTorch
  Official implementation of the paper "3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces" (ICCV 2021)
  ☆23Updated 3 years ago
• NolenChen / 3DStructurePoints
  ☆80Updated last year
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 4 years ago
• hansongfang / CompNet
  Code of paper "Compositionally Generalizable 3D Structure Prediction"
  ☆33Updated 2 years ago
• matheusgadelha / MRTNet
  Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)
  ☆44Updated 6 years ago
• val-iisc / ssl_3d_recon
  Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)
  ☆28Updated 5 years ago
• rehg-lab / lowshot-shapebias
  Learning low-shot object classification with explicit shape bias learned from point clouds
  ☆50Updated 3 years ago
• chrischoy / SpatioTemporalSegmentation-ScanNet
  ☆23Updated 4 years ago
• alitabet / morton-net
  PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and th…
  ☆21Updated 6 years ago
• xianyuMeng / VV-Net-Voxel-VAE-Net-with-Group-Convolutions-for-Point-Cloud-Segmentation
  official implementation for our ICCV 2019 paper : Voxel VAE Net with Group Convolutions for Point Cloud Segmentation
  ☆19Updated 2 years ago