Alternatives and similar repositories for Front2Back

Users that are interested in Front2Back are comparing it to the libraries listed below

• amirhertz / spaghetti
  ☆86Updated 2 years ago
• cvlab-epfl / MeshUDF
  Fast and Differentiable Meshing of Unsigned Distance Field Networks
  ☆146Updated last month
• yifita / idf
  implicit displacement field
  ☆126Updated 2 years ago
• czq142857 / NMC
  PyTorch implementation for paper Neural Marching Cubes.
  ☆168Updated last year
• ManyiLi12345 / D2IM-Net
  D2IM-Net: learning detail disentangled implicit fields from single images
  ☆26Updated 3 years ago
• FENGGENYU / CAPRI-Net
  Code for CAPRI-Net
  ☆50Updated 2 years ago
• chenchao15 / LPI
  ☆40Updated 2 years ago
• kacperkan / light-field-distance
  Program basing on https://github.com/Sunwinds/ShapeDescriptor that calculates distance for Wavefront OBJ objets.
  ☆19Updated 4 years ago
• ThibaultGROUEIX / NeuralJacobianFields
  ☆142Updated 2 months ago
• Chumbyte / DiGS
  Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)
  ☆58Updated 2 years ago
• IGLICT / DSG-Net
  Code for 'DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation'
  ☆85Updated 2 years ago
• threedle / TextDeformer
  ☆128Updated 2 years ago
• matanatz / SALD
  Sign Agnostic Learning with Derivatives
  ☆12Updated 3 years ago
• nv-tlabs / DefTet
  Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)
  ☆179Updated last year
• QiujieDong / Laplacian2Mesh
  Laplacian2Mesh: Laplacian-Based Mesh Understanding
  ☆56Updated last year
• Xharlie / ShapenetRender_more_variation
  A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.
  ☆157Updated 5 years ago
• OllieBoyne / pytorch-arap
  Pytorch implementation of the As-Rigid-As-Possible mesh deformation algorithm
  ☆50Updated last year
• lity20 / DCCDIF
  ☆54Updated 3 years ago
• gaolinorange / SDMNET_stamp
  ☆39Updated 4 years ago
• microsoft / DIF-Net
  Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021
  ☆127Updated 3 years ago
• edward1997104 / Wavelet-Generation
  Neural Wavelet-domain Diffusion for 3D Shape Generation [SIGGRAPH Asia 2022]
  ☆98Updated 2 years ago
• chengjieniu / RIM-Net
  ☆9Updated 3 years ago
• chenweikai / 3PSDF
  ☆66Updated 2 years ago
• czq142857 / DAE-Net
  Code for paper "DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation".
  ☆35Updated last year
• microsoft / DualOctreeGNN
  Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
  ☆141Updated last year
• jjjkkyz / DCUDF
  Implementation of "Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering"
  ☆34Updated 11 months ago
• jianglongye / gifs
  GIFS: Neural Implicit Function for General Shape Representation, CVPR 2022
  ☆77Updated last year
• jchibane / ndf
  Neural Unsigned Distance Fields (NDF) - Codebase
  ☆197Updated 3 years ago
• KAIST-Visual-AI-Group / APAP
  The reference implementation of As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors (CVPR 2024).
  ☆57Updated last year
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆168Updated 4 years ago