Alternatives and similar repositories for Physics-guided-Shape-from-Template

Users that are interested in Physics-guided-Shape-from-Template are comparing it to the libraries listed below

• mfdeveloper / surface_reconstruction_python
  Import a point cloud file and perform poisson 3D surface reconstruction algorithm, integrated with third-party libraries (e.g. open3d, py…
  ☆44Updated 4 years ago
• navamikairanda / phi_sft
  [CVPR 2022] Official implementation of "Φ-SfT: Shape-from-Template with a Physics-Based Deformation Model"
  ☆34Updated 3 years ago
• edomel / ImplicitVF
  ☆20Updated last year
• Algomorph / LevelSetFusion-Python
  Level Set Fusion (3D Reconstruction of Dynamic Scenes) Experimental Code
  ☆15Updated 4 years ago
• unibas-gravis / icp-proposal
  Source code to the paper "A Closest Point Proposal for MCMC-based Probabilistic Surface Registration"
  ☆30Updated 3 years ago
• jeanne-wang / octree_network_for_3d_semantic_reconstruction
  This repository maintains the code for my master thesis "learn semantic 3d reconstruction on octree"
  ☆12Updated 6 years ago
• xnowbzhao / lsd
  Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising (AAAI 2022)
  ☆15Updated last year
• za-cheng / DNS
  Code release for our SIGGRAPH 2022 paper "Diffeomorphic Neural Surface Parameterization for 3D and Reflectance Acquisition"
  ☆18Updated 2 years ago
• neuralps3d / neuralps3d
  Neural Reflectance Field from Shading and Shadow under a Fixed Viewpoint
  ☆16Updated 2 years ago
• theialab / banf
  BANF: Band-limited Neural Fields for Levels of Detail Reconstruction
  ☆19Updated last year
• arturs-berzins / boundary_sensitivity
  Interactive demo of semantic editing of 3D shapes.
  ☆16Updated 8 months ago
• twmitchel / FieldConv
  Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]
  ☆18Updated last year
• uncbiag / NAISR
  NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
  ☆17Updated last year
• tum-vision / intrinsic-neural-fields
  [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds
  ☆75Updated 2 years ago
• junming259 / PointSetVoting
  Source code of "Point Set Voting for Partial Point Clouds Analysis"
  ☆14Updated 4 years ago
• YilingQiao / lapcluster
  ☆14Updated 4 years ago
• Terascale-All-sensing-Research-Studio / DeepJoin
  [SIGGRAPH Asia 2022] Code for "DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair"
  ☆13Updated 2 years ago
• lucidrains / differentiable-SDF-pytorch
  Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch
  ☆68Updated 3 years ago
• renwuli / awesome-geometry-learning
  A list of paper related to Geometry Learning.
  ☆19Updated 2 years ago
• maolingao / IsoMuSh
  the official implementation of the paper "Isometric Multi-Shape Matching" (CVPR 2021)
  ☆12Updated 3 years ago
• gaolinorange / Rotation-Invariant-Mesh-Difference
  RIMD: Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling (Siggraph 2016)
  ☆11Updated 5 years ago
• nicolasdonati / DUO-FM
  Implementation of CVPR2022 paper: "Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching".
  ☆23Updated 2 years ago
• QifHE / Blender-Preset-for-Point-Cloud-Rendering
  A simple and convenient Blender preset for the rendering of point clouds suitable for the academic papers.
  ☆13Updated 2 years ago
• honglin-c / INSR-PDE
  Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023
  ☆44Updated last year
• mpanine / DirichletSteklovLandmarkMatching
  ☆9Updated 3 years ago
• dsilvavinicius / i3d
  ☆49Updated 7 months ago
• GitBoSun / TutteNet
  ☆14Updated 11 months ago
• Sentient07 / DeformationBasis
  Official code release for our NeurIPS 2022 paper Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
  ☆16Updated last year
• bldeng / Nonrigid-Registration-Survey
  A Survey of Non-Rigid 3D Registration (https://arxiv.org/pdf/2203.07858)
  ☆17Updated 3 years ago
• megvii-research / Sobolev_INRs
  [ECCV 2022] The official experimental code of "Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives"
  ☆31Updated 2 years ago