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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

7 November 2022
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
Xiaotao Wang
Lei Lei
Ziyao Yi
Yan Xiang
Zibin Liu
Sha Li
K. Shi
Dehui Kong
Ke Xu
Minsu Kwon
Yaqi Wu
Jiesi Zheng
Zhihao Fan
Xun Wu
Feng Zhang
Albert No
Minhyeok Cho
Zewen Chen
Xiaze Zhang
Ran Li
Juan Wang
Zhiming Wang
Marcos V. Conde
Ui-Jin Choi
Georgy Perevozchikov
E. Ershov
Zheng Hui
Mengchuan Dong
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
ArXivPDFHTML

Papers citing "Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report"

19 / 19 papers shown
Title
Learned Lightweight Smartphone ISP with Unpaired Data
Learned Lightweight Smartphone ISP with Unpaired Data
Andrei Arhire
Radu Timofte
19
0
0
15 May 2025
Pushing Joint Image Denoising and Classification to the Edge
Pushing Joint Image Denoising and Classification to the Edge
Thomas C Markhorst
J. C. V. Gemert
O. Kayhan
32
0
0
13 Sep 2024
Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile
  Devices
Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices
Hayun Lee
Dongkun Shin
MQ
28
0
0
29 Jul 2024
Simple Image Signal Processing using Global Context Guidance
Simple Image Signal Processing using Global Context Guidance
Omar Elezabi
Marcos V. Conde
Radu Timofte
19
2
0
17 Apr 2024
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
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision
  Tasks with Real-time Performance on Mobile Device
SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device
Wei Gou
Ziyao Yi
Yan Xiang
Sha Li
Zibin Liu
Dehui Kong
Ke Xu
25
4
0
16 Aug 2023
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022
  challenge: Report
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Jin Zhang
Feng Zhang
G. Yu
...
Mingyang Qian
Huixin Ma
Yanan Li
Xiaotao Wang
Lei Lei
15
10
0
07 Nov 2022
Power Efficient Video Super-Resolution on Mobile NPUs with Deep
  Learning, Mobile AI & AIM 2022 challenge: Report
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Cheng-Ming Chiang
Hsien-Kai Kuo
Yu-Syuan Xu
...
Kele Xu
Li Liu
Zehua Cheng
Wenyi Lian
W. Lian
SupR
22
10
0
07 Nov 2022
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
30
17
0
07 Nov 2022
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022
  Challenge Report
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Marcos V. Conde
Radu Timofte
Yibin Huang
Jingyang Peng
Chang-Xia Chen
...
Furkan Kiracc
Lin Leyi
S M Nadim Uddin
Diponkar Ghosh
Yong Ju Jung
23
15
0
20 Oct 2022
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
Furkan Kinli
Sami Mentecs
Barics Ozcan
Furkan Kiracc
Radu Timofte
...
Sungjun Kim
Guisik Kim
Seohyeon Lee
S. Nathan
Priya Kansal
33
10
0
17 Oct 2022
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video:
  Dataset, Methods and Results
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang
Radu Timofte
Xin Li
Qi Zhang
Lin Zhang
...
Yijian Zhang
Mao Ye
Dengyan Luo
Xiaofeng Pan
L. Peng
SupR
50
30
0
23 Aug 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
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
RepVGG: Making VGG-style ConvNets Great Again
RepVGG: Making VGG-style ConvNets Great Again
Xiaohan Ding
X. Zhang
Ningning Ma
Jungong Han
Guiguang Ding
Jian-jun Sun
136
1,546
0
11 Jan 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
70
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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