KunalMGupta / NeuralMeshFlow
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
☆84Updated 3 years ago
Alternatives and similar repositories for NeuralMeshFlow:
Users that are interested in NeuralMeshFlow are comparing it to the libraries listed below
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆83Updated 2 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated last month
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation. CVPR'20☆140Updated last year
- Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.☆200Updated last year
- Neural Surface Maps☆65Updated 9 months ago
- Learnable Deformations Among 3D Shapes.☆65Updated 4 years ago
- SAL: Sign Agnostic Learning of Shapes From Raw Data☆91Updated 4 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- ☆56Updated last year
- ☆82Updated 3 years ago
- ☆43Updated 4 years ago
- Learning Gradient Fields for Shape Generation☆191Updated 3 years ago
- KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control☆109Updated 3 years ago
- Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021☆127Updated last year
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"☆139Updated 4 years ago
- ☆43Updated 2 years ago
- "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" implementation (ML 2019, Skoltech)☆52Updated 6 years ago
- An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks☆73Updated 2 years ago
- Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020☆113Updated 3 years ago
- Code for "Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks", CVPR 2021☆172Updated 4 years ago
- ☆156Updated 3 years ago
- Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021☆125Updated 2 years ago
- Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022☆179Updated 2 years ago
- DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing (CVPR 2020).☆219Updated 4 years ago
- The Toolkit for 3D Vision (tk3dv) is a collection of tools for deep learning and 3D computer vision.☆27Updated 3 years ago
- Code for Mesh Convolution Using a Learned Kernel Basis☆53Updated 2 years ago
- PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.☆84Updated 2 years ago
- A minimalist pytorch implementation of: "Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence"☆25Updated last year
- Implementation of the NeuroMorph method from CVPR 2021.☆46Updated 3 years ago