Alternatives and similar repositories for DIST-Renderer:

Users that are interested in DIST-Renderer are comparing it to the libraries listed below

• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆181Updated 2 years ago
• YueJiang-nj / CVPR2020-SDFDiff
  SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
  ☆280Updated 4 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆91Updated 4 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆140Updated last year
• yifita / deep_cage
  code for "Neural Cages for Detail-Preserving 3D Deformations"
  ☆170Updated 4 years ago
• amosgropp / IGR
  Implicit Geometric Regularization for Learning Shapes
  ☆414Updated 3 years ago
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆167Updated 3 years ago
• davidstutz / mesh-fusion
  Python tool for obtaining watertight meshes using TSDF fusion.
  ☆226Updated last year
• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆177Updated last year
• autonomousvision / texture_fields
  This repository contains code for the paper 'Texture Fields: Learning Texture Representations in Function Space'.
  ☆118Updated 4 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆200Updated last year
• Xharlie / DISN
  (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  ☆184Updated 3 years ago
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆198Updated 2 years ago
• laughtervv / DISN
  DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
  ☆306Updated 3 years ago
• haidongz-usc / Curriculum-DeepSDF
  Implementation for Curriculum DeepSDF
  ☆87Updated 5 years ago
• jchibane / if-net
  Implicit Feature Network (IF-Net) - Codebase
  ☆318Updated last year
• fwilliams / deep-geometric-prior
  The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
  ☆134Updated 11 months ago
• chenhsuanlin / signed-distance-SRN
  SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)
  ☆126Updated 4 years ago
• google / ldif
  3D Shape Representation with Local Deep Implicit Functions.
  ☆317Updated 10 months ago
• cvlab-epfl / MeshSDF
  Code for "MeshSDF: Differentiable Iso-Surface Extraction", NeurIPS2020, SpotLight
  ☆233Updated 3 years ago
• alexeybokhovkin / DeepSDF
  "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)
  ☆52Updated 6 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆162Updated 4 years ago
• paschalidoud / neural_parts
  Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021
  ☆172Updated 4 years ago
• vsitzmann / metasdf
  Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"
  ☆139Updated 4 years ago
• microsoft / DIF-Net
  Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021
  ☆125Updated 2 years ago
• lmb-freiburg / what3d
  What Do Single-view 3D Reconstruction Networks Learn?
  ☆98Updated 4 years ago
• czq142857 / BSP-NET-original
  Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.
  ☆196Updated 3 years ago
• RuojinCai / ShapeGF
  Learning Gradient Fields for Shape Generation
  ☆191Updated 3 years ago
• Colin97 / DeepMetaHandles
  DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
  ☆83Updated 2 years ago
• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆164Updated last year