EdwardSmith1884/3D-IWGAN
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Machine Learning Researcher at Borealis AI. PhD in Computer Science
Repositories
EdwardSmith1884/Multi-View-Silhouette-and-Depth-Decomposition-for-High-Resolution-3D-Object-Representation
Repository for code to reproduce the paper Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
EdwardSmith1884/GEOMetrics
Repo for the paper "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects"
EdwardSmith1884/edwardsmith1884.github.io
MyWebsite
EdwardSmith1884/3D-Machine-Learning
A resource repository for 3D machine learning
EdwardSmith1884/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
EdwardSmith1884/UnsupervisedPointCloudReconstruction
Experiments on unsupervised point cloud reconstruction.
EdwardSmith1884/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
EdwardSmith1884/LAP-PAL
Author's PyTorch implementation of LAP and PAL with TD3 and DDQN
EdwardSmith1884/image-to-set
The project is about predicting sets (of classes) from images.
EdwardSmith1884/DIB-R
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
EdwardSmith1884/v97
Proceedings of ICML 2019
EdwardSmith1884/Occupancy-Networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
EdwardSmith1884/gcn
Implementation of Graph Convolutional Networks in TensorFlow
EdwardSmith1884/tvsn
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
EdwardSmith1884/3D-R2N2
Single/multi view image(s) to voxel reconstruction using a recurrent neural network