Learning Degradation-Independent Representations for Camera ISP Pipelines

3 July 2023

Papers citing "Learning Degradation-Independent Representations for Camera ISP Pipelines"

5 / 5 papers shown

Title
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments Masakazu Yoshimura Junji Otsuka Atsushi Irie Takeshi Ohashi 39 17 0 28 Oct 2022
ReconfigISP: Reconfigurable Camera Image Processing Pipeline K. Yu Zexian Li Yue Peng Chen Change Loy Jinwei Gu 47 29 0 10 Sep 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang Ling Shao 128 1,454 0 04 Feb 2021
Learning to See in the Dark Cheng Chen Qifeng Chen Jia Xu V. Koltun 190 1,165 0 04 May 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,475 0 21 Nov 2016