justanhduc / neuralnet-pytorch
A high level framework for general purpose neural networks in Pytorch.
☆27Updated 4 years ago
Alternatives and similar repositories for neuralnet-pytorch:
Users that are interested in neuralnet-pytorch are comparing it to the libraries listed below
- This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".☆62Updated 4 years ago
- Implementation of Differentiable Sign-Distance Function Rendering - in Pytorch☆68Updated 2 years ago
- This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.☆136Updated 10 months ago
- Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]☆44Updated 3 years ago
- Official implementation of GraphX-Convolution☆62Updated 4 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆27Updated 4 years ago
- Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020☆95Updated 2 years ago
- A zero-shot segmentation framework for 3D shapes.☆37Updated last year
- ☆42Updated 4 years ago
- Code release for "From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks" (CVPR 2020)☆22Updated 4 years ago
- Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis, CVPR 2020☆70Updated 4 years ago
- ☆60Updated 3 years ago
- DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates☆83Updated 2 years ago
- An autoregressive model for point cloud generation augmented with self-attention☆25Updated 4 years ago
- Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019☆137Updated 6 months ago
- ☆80Updated last year
- ☆82Updated 3 years ago
- The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".☆68Updated 3 years ago
- PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions☆47Updated 4 years ago
- Code for Multiresolution Tree Networks for 3D Point Cloud Processing (ECCV 2018)☆44Updated 6 years ago
- code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"☆118Updated last year
- Code for Deep Parametric Shape Predictions using Distance Fields, in CVPR 2020.☆54Updated 3 years ago
- PartNet Shape Segmentation Experiments Code Repo☆70Updated 4 years ago
- Learning Gradient Fields for Shape Generation☆189Updated 3 years ago
- Multiview Aggregation for Learning Category-Specific Shape Reconstruction, NeurIPS 2019☆38Updated 4 years ago
- Code release for "Pre-train, Self-train, Distill A simple recipe for Supersizing 3D Reconstruction"☆91Updated 2 years ago
- Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :☆33Updated 4 years ago
- 3DN: 3D Deformation Network, CVPR 2019☆103Updated 5 years ago
- SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images 🎯 (NeurIPS 2020)☆125Updated 4 years ago
- Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…☆58Updated 4 years ago