gebawe / 3D-Shape-Prediction-from-a-Single-RGB-image-with-Deep-LearningLinks
The goal of this 3D prediction from single RGB image is to predict the 3D geometry and structure of objects from a single RGB image using deep learning techniques. This long standing ill-posed problem is crucial to numerous applications such as robot navigation, object recognition and scene understanding, medical diagnosis, and 3D modeling and a…
☆13Updated 5 years ago
Alternatives and similar repositories for 3D-Shape-Prediction-from-a-Single-RGB-image-with-Deep-Learning
Users that are interested in 3D-Shape-Prediction-from-a-Single-RGB-image-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- frankenGAN networks☆25Updated 6 years ago
- Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for…☆56Updated 7 years ago
- Code for the paper "Image2Mesh: A Learning Framework for Single Image 3D Reconstruction"☆99Updated 6 years ago
- Weakly supervised 3D Reconstruction with Adversarial Constraint☆79Updated 7 years ago
- Mesh Skeleton Extraction Using Laplacian Contraction☆45Updated 7 years ago
- 3D Signed Distance Function Based Generative Adversarial Networks☆14Updated 8 years ago
- Global-to-Local Generative Model for 3D Shapes☆29Updated 6 years ago
- Torch implementation of our ICCV 17 paper: "3D-PRNN, Generating Shape Primitives with Recurrent Neural Networks"☆70Updated 4 years ago
- Sketch-based 3D model retrieval☆26Updated 10 years ago
- Code for paper "Learning Free-Form Deformations for 3D Object Reconstruction"☆83Updated 7 years ago
- Shape Projective Fully Convolutional Network☆85Updated 3 months ago
- A python addon for mesh segmentation in blender using spectral clustering methods☆104Updated last year
- pure pytorch implements for "GraphX-convolution for point cloud deformation in 2D-to-3D conversion" , official implements is not pure-pyt…☆10Updated 5 years ago
- Interactive Surface Reconstruction Software with Curve-Driven Controls☆29Updated 6 years ago
- Master thesis work on 3d object reconstruction from 2d images with graph convolution network (pixel2mesh adaption).☆26Updated 5 years ago
- Repository for 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction [ECCVW 2018]☆24Updated 6 years ago
- Structure-aware Generative Network for 3D-Shape Modeling (SIGGRAPH 2019)☆42Updated 6 years ago
- Code for creating and visualizing a sparse facial point cloud for 3D reconstruction purposes. The intrinsic parameters have been customiz…☆14Updated 3 years ago
- CVPR'18 implementation of (deterministic) amortized maximum likelihood (AML) for weakly-supervised shape completion.☆24Updated 3 years ago
- code to train a neural network to align pairs of shapes without needing ground truth warps for supervision☆62Updated 6 years ago
- A survey on 3D Deep Learning☆16Updated 7 years ago
- OBB implementation in python (using numpy)☆81Updated last year
- 🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)☆135Updated 6 years ago
- Implementation of Efficient Deformable Shape Correspondence via Kernel Matching (https://arxiv.org/abs/1707.08991).☆49Updated 7 years ago
- A set of small programs and scripts to convert OBJ 3D file into vox space and then import it into python as an np array☆10Updated 7 years ago
- FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis☆59Updated 7 years ago
- ☆61Updated 6 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
- python voxelizaion☆53Updated 7 years ago
- Multi Directional Geodesic Convolutional Neural Networks☆36Updated 5 years ago