Improving Convolutional Networks via Attention Transfer (ICLR 2017)

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

Tensorflow port of LIFT (ECCV 2016), with training code.

A Modular and Multi-Modal Mapping Framework

Cross-dimensional weighting for aggregated deep convolutional features.

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"

Pytorch version of SfmLearner from Tinghui Zhou et al.

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Collection of generative models in Pytorch version.

Unsupervised single image depth prediction with CNNs

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

Progressive Growing of GANs for Improved Quality, Stability, and Variation

This repository is not maintained, please use https://github.com/centreborelli/s2p instead.

Temporal Vegetation Classification with Recurrent Neural Networks

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

PyTorch Tutorial for Deep Learning Researchers

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Use metric learning to cluster images and run similar image queries

Materials for my scikit-learn tutorial

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Bag-of-Features Pooling for Deep Convolutional Neural Networks

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

Simple depth maps obtained by using CNN