lebrat / MongeNetLinks
MongeNet sampler official implementation
☆13Updated 4 years ago
Alternatives and similar repositories for MongeNet
Users that are interested in MongeNet are comparing it to the libraries listed below
Sorting:
- Flow-based generative model for 3D point clouds.☆44Updated 5 years ago
- Learning Gradient Fields for Shape Generation☆200Updated 4 years ago
- Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"☆12Updated 4 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆70Updated 3 years ago
- An autoregressive model for point cloud generation augmented with self-attention☆28Updated 5 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 4 years ago
- FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks☆36Updated 6 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆28Updated 5 years ago
- Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis, CVPR 2020☆70Updated 5 years ago
- ☆74Updated 2 years ago
- code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"☆108Updated 2 years ago
- Demo source code for the paper "Spin-Weighted Spherical CNNs".☆23Updated 3 years ago
- Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows☆87Updated 4 years ago
- Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation,…☆35Updated 4 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆77Updated 3 years ago
- Official implementation of Field Convolutions for Surface CNNs [ICCV 2021 Oral]☆19Updated last year
- PyTorch 1.0 implementation of the approximate Earth Mover's Distance☆140Updated 6 years ago
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆310Updated 2 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆69Updated 2 years ago
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 4 years ago
- Learning low-shot object classification with explicit shape bias learned from point clouds☆52Updated 4 years ago
- ☆176Updated 4 years ago
- Source code of "A structured dictionary perspective on implicit neural representations"☆61Updated 3 years ago
- Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features☆88Updated 11 months ago
- Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)☆44Updated 6 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆22Updated 5 years ago
- ☆34Updated 5 years ago
- Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation☆98Updated 5 years ago
- pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<☆77Updated 6 years ago
- [ECCV'22] This repository is the implementation of "Autoregressive 3D Shape Generation via Canonical Mapping".☆45Updated 3 years ago