Alternatives and similar repositories for DualSDF

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

• paschalidoud / hierarchical_primitives
  Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020
  ☆101Updated 3 years ago
• paschalidoud / neural_parts
  Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021
  ☆169Updated 4 years ago
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 5 years ago
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆88Updated 5 years ago
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆88Updated 3 years ago
• theodeprelle / AtlasNetV2
  This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.
  ☆139Updated last year
• B1ueber2y / DIST-Renderer
  DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).
  ☆222Updated 5 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆187Updated 3 years ago
• lmb-freiburg / what3d
  What Do Single-view 3D Reconstruction Networks Learn?
  ☆100Updated 5 years ago
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• GitBoSun / ARAPReg
  ☆162Updated 4 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 5 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆82Updated 4 years ago
• AljazBozic / NeuralGraph
  Official implementation for CVPR'2021 paper Neural Deformation Graphs
  ☆156Updated 4 years ago
• hjwdzh / MeshODE
  MeshODE: A Robust and Scalable Framework for Mesh Deformation
  ☆105Updated 5 years ago
• liufeng2915 / Implicit_Dense_Correspondence
  ☆62Updated 4 years ago
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆64Updated 4 years ago
• paschalidoud / superquadric_parsing
  Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019
  ☆148Updated last year
• alexeybokhovkin / DeepSDF
  "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
  ☆53Updated 6 years ago
• nschor / CompoNet
  Code for the paper "CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition"
  ☆28Updated 6 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆204Updated 2 years ago
• nileshkulkarni / volumetricPrimitivesPytorch
  Pytorch Implementation of https://github.com/shubhtuls/volumetricPrimitives
  ☆55Updated 7 years ago
• chaene / hsp
  ☆33Updated 7 years ago
• isunchy / cuboid_abstraction
  Code release for "Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections" (SIGGRAPH Asia 2019)
  ☆53Updated 6 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆165Updated 4 months ago
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆286Updated 5 years ago
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆168Updated 4 years ago
• czq142857 / BAE-NET
  The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".
  ☆70Updated 4 months ago
• chenhsuanlin / signed-distance-SRN
  SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
  ☆128Updated 4 years ago
• LIX-shape-analysis / GeomFmaps
  ☆52Updated 5 years ago