Alternatives and similar repositories for DDSL

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

• jiangzhongshi / SurfaceNetworks
  Source code for CVPR 2018 Oral paper "Surface Networks"
  ☆92Updated 5 years ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated last year
• dmsm / DeepParametricShapes
  Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.
  ☆54Updated 4 years ago
• mhsung / deep-functional-dictionaries
  ☆40Updated 6 years ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 4 months ago
• junli-lj / Grass
  ☆44Updated 7 years ago
• kevin-kaixu / grass_pytorch
  PyTorch Implementation of GRASS
  ☆91Updated 5 years ago
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 3 years ago
• wang-ps / O-CNN
  This repository contains the code of our O-CNN paper.
  ☆39Updated 5 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• bach-zouk / Weakly-supervised-Deep-Functional-map
  Neurips 2020 paper on weakly supervised deep functional maps for shape matching
  ☆26Updated 4 years ago
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 4 years ago
• chengjieniu / Im2Struct
  ☆44Updated 5 years ago
• Hippogriff / CSGNet
  CSGNet: Neural Shape parser for Constructive Solid Geometry
  ☆79Updated 5 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated last year
• HobbitLong / shape2prog
  [ICLR 2019] Learning to Infer and Execute 3D Shape Programs
  ☆112Updated 3 years ago
• hjwdzh / TextureNet
  TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
  ☆96Updated 5 years ago
• tovacinni / neural-fluid-fields
  A small library for doing fluid simulation with neural networks.
  ☆23Updated 3 years ago
• shurans / mini-pytorch-examples
  ☆12Updated 6 years ago
• hassony2 / shape_sdf
  ☆44Updated 6 years ago
• dmsm / LearningPatches
  Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.
  ☆29Updated 4 years ago
• syb7573330 / PointGrow
  An autoregressive model for point cloud generation augmented with self-attention
  ☆27Updated 5 years ago
• marvin-eisenberger / deep-shells
  ☆43Updated 3 years ago
• nileshkulkarni / volumetricPrimitivesPytorch
  Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives
  ☆55Updated 7 years ago
• shubhtuls / mvcSnP
  Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"
  ☆117Updated 6 years ago
• josh-tobin / egqn-datasets
  ☆13Updated 5 years ago
• zouchuhang / 3D-PRNN
  Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"
  ☆69Updated 4 years ago
• viscom-ulm / MCCNN
  Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
  ☆91Updated 5 years ago
• OshriHalimi / shape_completion
  ☆28Updated last year