kangxue / COALESCELinks
☆15Updated 3 years ago
Alternatives and similar repositories for COALESCE
Users that are interested in COALESCE are comparing it to the libraries listed below
Sorting:
- Code for Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations☆70Updated 3 years ago
- Official implementation of the Discrete Optimization and Smooth Discrete Optimization papers☆17Updated last year
- Neural Surface Maps☆67Updated last year
- ☆25Updated 6 years ago
- GenDR: A Generalized Differentiable Renderer☆84Updated 3 years ago
- Implementation of the NeuroMorph method from CVPR 2021.☆48Updated 3 years ago
- A new dataset adapted from DeformThings4D for non-isometric shape matching task☆29Updated 2 years ago
- Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces☆24Updated 4 years ago
- ☆49Updated 10 months ago
- ☆43Updated 5 years ago
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆75Updated 3 years ago
- ☆43Updated 3 years ago
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)☆93Updated 3 years ago
- This is a browser based renderer for outputs of 3D neural networks☆31Updated 2 years ago
- CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"☆30Updated 4 years ago
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆77Updated 2 years ago
- Official implementation of paper "Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes"☆14Updated 5 years ago
- a pytorch extension for learning point clouds☆36Updated 5 years ago
- ☆10Updated 4 years ago
- Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.…☆23Updated 4 years ago
- ☆47Updated 4 years ago
- Code for Learning Manifold Patch-Based Representations of Man-Made Shapes, in ICLR 2021.☆29Updated 4 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- ☆14Updated 5 years ago
- Official implementation for CVPR'2021 paper Neural Deformation Graphs