kacperkan / light-field-distance
Program basing on https://github.com/Sunwinds/ShapeDescriptor that calculates distance for Wavefront OBJ objets.
☆18Updated 3 years ago
Alternatives and similar repositories for light-field-distance:
Users that are interested in light-field-distance are comparing it to the libraries listed below
- ☆82Updated last year
- D2IM-Net: learning detail disentangled implicit fields from single images☆26Updated 3 years ago
- Code for CAPRI-Net☆50Updated 2 years ago
- Neural Wavelet-domain Diffusion for 3D Shape Generation [SIGGRAPH Asia 2022]☆97Updated last year
- implicit displacement field☆125Updated 2 years ago
- Fast and Differentiable Meshing of Unsigned Distance Field Networks☆146Updated 6 months ago
- Code for "DiGS: Divergence guided shape implicit neural representation for unoriented point clouds" (CVPR2022)☆54Updated 2 years ago
- Official implementation of CVPR 2020 paper "Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction"☆12Updated 3 years ago
- Code for paper "DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation".☆34Updated last year
- ☆40Updated 2 years ago
- Pytorch implementation of the As-Rigid-As-Possible mesh deformation algorithm☆44Updated 9 months ago
- Laplacian2Mesh: Laplacian-Based Mesh Understanding☆54Updated 9 months ago
- Sign Agnostic Learning with Derivatives☆13Updated 3 years ago
- ☆125Updated last year
- ☆129Updated last year
- Implementation of "Robust Zero Level-Set Extraction from Unsigned Distance Fields Based on Double Covering"☆33Updated 8 months ago
- ☆51Updated 3 years ago
- PyTorch implementation of SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling, ECCV2022.☆26Updated 2 years ago
- ☆54Updated 3 years ago
- The reference implementation of As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors (CVPR 2024).☆57Updated last year
- Official pytorch code for "ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations"☆63Updated last year
- Code for 'DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation'☆84Updated last year
- ☆66Updated 2 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆91Updated 4 years ago
- Implementation for Curriculum DeepSDF☆87Updated 5 years ago
- ☆29Updated 2 years ago
- Implementation of "Deep Implicit Templates for 3D Shape Representation"☆168Updated 3 years ago
- [TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Fie…☆105Updated 4 months ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆126Updated 2 years ago
- Personal Implementation of the paper: Nuvo: Neural UV Mapping for Unruly 3D Representations☆32Updated 4 months ago