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Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021
  Challenge: Report

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report

17 May 2021
Andrey D. Ignatov
Cheng-Ming Chiang
Hsien-Kai Kuo
Anastasia Sycheva
Radu Timofte
Min-Hung Chen
Man-Yu Lee
Yu-Syuan Xu
Yu-Wen Tseng
Shusong Xu
Jin Guo
Chao Chen
Ming-Chun Hsyu
Wen-Chia Tsai
Chao-Wei Chen
Grigory Malivenko
Minsu Kwon
Myungje Lee
Jaeyoon Yoo
Changbeom Kang
Shinjo Wang
Zheng Shaolong
Hao Dejun
Xie Fen
Feng Zhuang
Yipeng Ma
Jingyang Peng
Tao Wang
Fenglong Song
Chih-Chung Hsu
Kwan-Lin Chen
Mei Wu
Vishal M. Chudasama
Kalpesh P. Prajapati
Heena Patel
Anjali Sarvaiya
K. Upla
Kiran Raja
Raghavendra Ramachandra
Christoph Busch
Etienne de Stoutz
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Papers citing "Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report"

11 / 11 papers shown
Title
PQDynamicISP: Dynamically Controlled Image Signal Processor for Any
  Image Sensors Pursuing Perceptual Quality
PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality
Masakazu Yoshimura
Junji Otsuka
Takeshi Ohashi
32
2
0
15 Mar 2024
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs,
  Mobile AI & AIM 2022 challenge: Report
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupR
MQ
20
31
0
07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI &
  AIM 2022 Challenge: Report
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Lukasz Treszczotko
Xin-ke Chang
...
Dongwon Park
Seongmin Hong
Joonhee Lee
Seunggyu Lee
Sengsub Chun
33
17
0
07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI &
  AIM 2022 Challenge: Report
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
...
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
24
23
0
07 Nov 2022
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step
  Refinement
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement
Jinha Kim
Jun Jiang
Jinwei Gu
23
2
0
20 Oct 2022
Reversing Image Signal Processors by Reverse Style Transferring
Reversing Image Signal Processors by Reverse Style Transferring
Furkan Kinli
B. Özcan
Mustafa Furkan Kıraç
32
3
0
17 Oct 2022
Fast and Accurate Quantized Camera Scene Detection on Smartphones,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Sheng Chen
Xin Xia
...
K. Lyda
L. Khojoyan
Abhishek Thanki
Sayak Paul
Shahid Siddiqui
MQ
18
20
0
17 May 2021
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI
  2021 Challenge: Report
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Kim Byeoung-su
Radu Timofte
Angeline Pouget
Fenglong Song
...
Lei Lei
Chaoyu Feng
L. Huang
Z. Lei
Feifei Chen
19
30
0
17 May 2021
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
73
128
0
05 Jan 2021
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and
  Results
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr
Martin Danelljan
Radu Timofte
Namhyuk Ahn
Dongwoon Bai
...
Tongtong Zhao
Yuanbo Zhou
Haijie Zhuo
Ziyao Zong
Xueyi Zou
SupR
82
170
0
05 May 2020
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
137
167
0
20 Sep 2019
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