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MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning

8 November 2022
Andrey D. Ignatov
Anastasia Sycheva
Radu Timofte
Yu-Wen Tseng
Yu-Syuan Xu
Po-Hsiang Yu
Cheng-Ming Chiang
Hsien-Kai Kuo
Min-Hung Chen
Chia-Ming Cheng
Luc Van Gool
    MQ
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Papers citing "MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning"

8 / 8 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
21
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
19
23
0
07 Nov 2022
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
Andrey D. Ignatov
Cheng-Ming Chiang
Hsien-Kai Kuo
Anastasia Sycheva
Radu Timofte
...
K. Upla
Kiran Raja
Raghavendra Ramachandra
Christoph Busch
Etienne de Stoutz
28
47
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
68
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
80
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
134
167
0
20 Sep 2019
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