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cuhksz-depth-complete-rgbd-

dbpn-deep_back_projection_network-keras

Implementation of paper Deep Back Projection Network paper

deblurgan

Image Deblurring using Generative Adversarial Networks

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

drn

Dilated Residual Networks

drn-1

Dilated Residual Network for Sematic Segmentation

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

git-github.com-vccimaging-vccimaging.github.io

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

hdrcnn

HDR image reconstruction from a single exposure using deep CNNs

install_pcl_deps

learnedlargefov

Official Implementation of the Paper "Learned Large Field-of-view Imaging Through Thin Plate Optics"

opencv

Open Source Computer Vision Library

perceptual-reflection-removal

Single Image Reflection Separation with Perceptual Losses

pix2pix-deblur

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

pypher

PSF Homogenization kERnels

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

smartcabin

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

timehisto2depth

This project is for simulating SPAD signal of 3D scenes in free running mode, then mapping timehistogram to depth directly

ultrallowlightrawvideoisp