Alternatives and similar repositories for DeepMetaHandles

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

• GitBoSun / ARAPReg
  ☆162Updated 4 years ago
• papagina / MeshConvolution
  Code for Mesh Convolution Using a Learned Kernel Basis
  ☆55Updated 3 years ago
• tomasjakab / keypoint_deformer
  KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. CVPR 2021 Oral presentation
  ☆109Updated 4 years ago
• liufeng2915 / Implicit_Dense_Correspondence
  ☆62Updated 4 years ago
• maxjiang93 / ShapeFlow
  Learnable Deformations Among 3D Shapes.
  ☆64Updated 4 years ago
• yifita / deep_cage
  code for "Neural Cages for Detail-Preserving 3D Deformations"
  ☆179Updated 5 years ago
• zekunhao1995 / DualSDF
  DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20
  ☆141Updated 2 years ago
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 5 years ago
• Steve-Tod / DeformSyncNet
  Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
  ☆24Updated 5 years ago
• microsoft / DIF-Net
  Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021
  ☆128Updated 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
• daerduoCarey / structedit
  StructEdit: Learning Structural Shape Variations
  ☆36Updated 5 years ago
• luca-morreale / neural_surface_maps
  Neural Surface Maps
  ☆67Updated last year
• kangxue / LOGAN
  LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
  ☆40Updated 5 years ago
• facebookresearch / neuromorph
  Implementation of the NeuroMorph method from CVPR 2021.
  ☆51Updated 4 years ago
• pablopalafox / npms
  Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021
  ☆127Updated 2 years ago
• matanatz / SAL
  SAL: Sign Agnostic Learning of Shapes From Raw Data
  ☆88Updated 5 years ago
• facebookresearch / VCMeshConv
  Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…
  ☆100Updated 4 years ago
• ZhengZerong / DeepImplicitTemplates
  Implementation of "Deep Implicit Templates for 3D Shape Representation"
  ☆168Updated 4 years ago
• gaolinorange / SDMNET_stamp
  ☆40Updated 4 years ago
• OshriHalimi / unsupervised_learning_of_dense_shape_correspondence
  ☆83Updated 4 years ago
• czq142857 / IM-NET
  The improved code for paper "Learning Implicit Fields for Generative Shape Modeling".
  ☆165Updated 5 months ago
• hjwdzh / MeshODE
  MeshODE: A Robust and Scalable Framework for Mesh Deformation
  ☆105Updated 5 years ago
• czq142857 / BSP-NET-pytorch
  PyTorch 1.2 implementation of BSP-NET.
  ☆187Updated 3 years ago
• bednarikjan / differential_surface_representation
  Code for the paper Shape Reconstruction by Learning Differentiable Surface Representations accepted to CVPR'20
  ☆27Updated 3 years ago
• czq142857 / DECOR-GAN
  PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
  ☆85Updated 3 years ago
• rehg-lab / 3DShapeGen
  Code for 3D Reconstruction of Novel Object Shapes from Single Images paper
  ☆129Updated 3 years ago
• edgar-tr / patchnets
  Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.…
  ☆23Updated 4 years ago
• czq142857 / BAE-NET
  The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".
  ☆70Updated 5 months ago
• rubenwiersma / hsn
  Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
  ☆88Updated 10 months ago