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Sam's Projects

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

bicyclegan icon bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

blitznet icon blitznet

Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding"

caffe icon caffe

Caffe: a fast open framework for deep learning.

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deblur-gan icon deblur-gan

Keras implementation of "DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks"

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

deep-photo-enhancer icon deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dped icon dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

enhancehdr icon enhancehdr

Generation of High Dynamic Range Illumination from a Single Image

exclusively-dark-image-dataset icon exclusively-dark-image-dataset

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

expandnet icon expandnet

tensorflow-ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content

face2face-demo icon face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

facial-expression-recognition.pytorch icon facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

gms-feature-matcher icon gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

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