Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3D-R2N2: 3D Recurrent Reconstruction Neural Network This repository contains the source codes for the paper Choy et al., 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction, ECCV 2016. Given one or mult

Related Repos



Kaixhin Noisy Networks for Exploration
 

dselsam Certigrad Certigrad is a proof-of-concept for a new way to develop machine learning systems, in which the following components are developed simultaneously: The implementation itself. A library of background mathematics.
 

astorfi Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page This repository contains the code developed by TensorFlow for the following paper: 3D Convolutional Neu
 

Eyyub tensorflow-cyclegan A lightweight CycleGAN tensorflow implementation. If you plan to use a CycleGAN model for real-world purposes, you should use the Torch CycleGAN implementation. @eyyub_s Some examples lion2leopa
 

tzutalin LabelImg LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it
 

IBM pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and extensible components for seq2seq models, training and inference, checkpoin
 

cypw Dual Path Networks This repository contains the code and trained models of: Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng. "Dual Path Networks" (NIPS17). DPNs helped us won the 1st place in
 

facebookresearch Submanifold Sparse Convolutional Networks This is the Torch/PyTorch library for training Submanifold Sparse Convolutional Networks. If you find this code useful in your research then please cite: Submanifold Sparse Convolutional