KunalMGupta / NeuralMeshFlowLinks
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
☆87Updated 4 years ago
Alternatives and similar repositories for NeuralMeshFlow
Users that are interested in NeuralMeshFlow are comparing it to the libraries listed below
Sorting:
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 10 months ago
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆141Updated 2 years ago
- Learnable Deformations Among 3D Shapes.☆64Updated 4 years ago
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆204Updated 2 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆88Updated 3 years ago
- ☆82Updated 4 years ago
- Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021☆169Updated 4 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆88Updated 4 years ago
- ☆43Updated 3 years ago
- ☆56Updated 2 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆114Updated 4 years ago
- Primal-Dual Mesh Convolutional Neural Networks☆114Updated 3 years ago
- Neural Surface Maps☆67Updated last year
- Pytorch code for "DPFM: Deep Partial Functional Maps" - 3DV 2021 (Oral)☆42Updated 3 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆145Updated 4 years ago
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control☆109Updated 4 years ago
- Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021☆189Updated 3 years ago
- ☆162Updated 4 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- 3D Shape Generation Baselines in PyTorch.☆45Updated 5 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆127Updated 2 years ago
- Official implementation for CVPR'2021 paper Neural Deformation Graphs☆156Updated 4 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆55Updated 3 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆53Updated 6 years ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆181Updated 2 years ago
- Learning latent representations of registered meshes is useful for many 3D tasks. Techniques have recently shifted to neural mesh autoenc…☆100Updated 4 years ago
- (latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆186Updated 4 years ago
- The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"☆140Updated last year
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆70Updated 3 years ago