Learning to See in the Dark

Learning to See in the Dark

4 May 2018

Papers citing "Learning to See in the Dark"

11 / 161 papers shown

Title
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument S. Hasan Cristian A. Linte MedIm 22 92 0 24 Feb 2019
Multi-Kernel Prediction Networks for Denoising of Burst Images Talmaj Marinc Vignesh Srinivasan Serhan Gül C. Hellge Wojciech Samek 24 26 0 05 Feb 2019
Image Enhancement Network Trained by Using HDR images Yuma Kinoshita Hitoshi Kiya 11 1 0 17 Jan 2019
DeepFlash: Turning a Flash Selfie into a Studio Portrait N. Capece Francesco Banterle Paolo Cignoni F. Ganovelli Roberto Scopigno U. Erra 19 22 0 14 Jan 2019
Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels Pawel Korus N. Memon 20 13 0 04 Dec 2018
Unprocessing Images for Learned Raw Denoising Tim Brooks B. Mildenhall Tianfan Xue Jiawen Chen Dillon Sharlet Jonathan T. Barron 21 433 0 27 Nov 2018
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization Vishal Keshav L. TejpratapG.V.S. 14 3 0 18 Oct 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset Y. P. Loh Chee Seng Chan 34 537 0 29 May 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline Eli Schwartz Raja Giryes A. Bronstein VLM 21 225 0 20 Jan 2018
Dirty Pixels: Towards End-to-End Image Processing and Perception Steven Diamond Vincent Sitzmann Frank D. Julca-Aguilar Stephen P. Boyd Gordon Wetzstein Felix Heide 24 51 0 23 Jan 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016