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Replacing Mobile Camera ISP with a Single Deep Learning Model

Replacing Mobile Camera ISP with a Single Deep Learning Model

13 February 2020
Andrey D. Ignatov
Luc Van Gool
Radu Timofte
ArXivPDFHTML

Papers citing "Replacing Mobile Camera ISP with a Single Deep Learning Model"

40 / 40 papers shown
Title
Learned Lightweight Smartphone ISP with Unpaired Data
Learned Lightweight Smartphone ISP with Unpaired Data
Andrei Arhire
Radu Timofte
29
0
0
15 May 2025
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
Yuandong Pu
Le Zhuo
Kaiwen Zhu
Liangbin Xie
Wenlong Zhang
Xiangyu Chen
Peng Gao
Yu Qiao
Chao Dong
Yihao Liu
MLLM
71
1
0
07 Apr 2025
Deep Perceptual Enhancement for Medical Image Analysis
S. Sharif
R. A. Naqvi
Mithun Biswas
Woong-Kee Loh
MedIm
80
21
0
11 Mar 2025
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
Jiarui Wu
Yujin Wang
Lingen Li
Zhang Fan
Tianfan Xue
34
0
0
10 Mar 2025
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling
Fadeel Sher Khan
Joshua Ebenezer
Hamid Sheikh
Seok-Jun Lee
69
0
0
28 Feb 2025
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement
Xianmin Chen
Peiliang Huang
Xiaoxu Feng
Dingwen Zhang
Longfei Han
Jiawei Han
Mamba
78
1
0
03 Jan 2025
Burst Super-Resolution with Diffusion Models for Improving Perceptual
  Quality
Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality
Kyotaro Tokoro
Kazutoshi Akita
Norimichi Ukita
35
4
0
28 Mar 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
39
2
0
15 Mar 2024
FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement
FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement
Mustafa Ozcan
Hamza Ergezer
Mustafa Ayazoglu
3DV
44
5
0
18 May 2023
Optical Aberration Correction in Postprocessing using Imaging Simulation
Optical Aberration Correction in Postprocessing using Imaging Simulation
Shiqi Chen
H. Feng
Dexin Pan
Zhi-hai Xu
Qi Li
Yue-ting Chen
36
36
0
10 May 2023
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image
  Restoration in Under-Display Camera
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
Ruicheng Feng
Chongyi Li
Huaijin Chen
Shuai Li
Liang Feng
Chen Change Loy
42
20
0
12 Apr 2023
Self-Supervised Reversed Image Signal Processing via Reference-Guided
  Dynamic Parameter Selection
Self-Supervised Reversed Image Signal Processing via Reference-Guided Dynamic Parameter Selection
Junji Otsuka
Masakazu Yoshimura
Takeshi Ohashi
18
5
0
24 Mar 2023
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
31
32
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
38
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
27
24
0
07 Nov 2022
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide
  Variety of Environments
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments
Masakazu Yoshimura
Junji Otsuka
Atsushi Irie
Takeshi Ohashi
44
17
0
28 Oct 2022
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step
  Refinement
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-Step Refinement
Jinha Kim
Jun Jiang
Liang Feng
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
38
3
0
17 Oct 2022
High Dynamic Range and Super-Resolution from Raw Image Bursts
High Dynamic Range and Super-Resolution from Raw Image Bursts
Bruno Lecouat
Thomas Eboli
Jean Ponce
Julien Mairal
13
22
0
29 Jul 2022
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
Ukcheol Shin
Kyunghyun Lee
In So Kweon
VLM
3DV
35
2
0
07 Jul 2022
Annular Computational Imaging: Capture Clear Panoramic Images through
  Simple Lens
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
Zhijie Xu
Haowen Shi
Lei Sun
Shaohua Gao
Kailun Yang
Kaiwei Wang
42
17
0
13 Jun 2022
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation
Zhihao Li
Si Yi
Zhan Ma
31
2
0
19 Apr 2022
Transform your Smartphone into a DSLR Camera: Learning the ISP in the
  Wild
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild
A. S. Tripathi
Martin Danelljan
Samarth Shukla
Radu Timofte
Luc Van Gool
33
9
0
20 Mar 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
26
8
0
16 Dec 2021
Kernel-aware Burst Blind Super-Resolution
Kernel-aware Burst Blind Super-Resolution
Wenyi Lian
Shanglian Peng
SupR
21
7
0
14 Dec 2021
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional
  Neural Network
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
Rao Muhammad Umer
C. Micheloni
SupR
34
2
0
25 Oct 2021
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
Zhilu Zhang
Haolin Wang
Ming-Yu Liu
Ruohao Wang
Jiawei Zhang
W. Zuo
26
41
0
18 Aug 2021
Semi-Supervised Raw-to-Raw Mapping
Semi-Supervised Raw-to-Raw Mapping
Mahmoud Afifi
Abdullah Abuolaim
32
14
0
25 Jun 2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Goutam Bhat
Martin Danelljan
Radu Timofte
Kazutoshi Akita
Wooyeong Cho
...
Rao Muhammad Umer
Youliang Yan
Lei Yu
Magauiya Zhussip
X. Zou
SupR
22
39
0
07 Jun 2021
Fast and Accurate Single-Image Depth Estimation on Mobile Devices,
  Mobile AI 2021 Challenge: Report
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
D. Plowman
Samarth Shukla
Radu Timofte
...
Tianpeng Feng
Yang Liu
Chuannan Sheng
Jian Yin
Fausto T. Benavide
MDE
32
35
0
17 May 2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning,
  Mobile AI 2021 Challenge: Report
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey D. Ignatov
Andrés Romero
Heewon Kim
Radu Timofte
C. Ho
...
Xiumei Wang
Jiaming Guo
Xueyi Zhou
Hao Jia
Youliang Yan
SupR
30
52
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
25
30
0
17 May 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
33
47
0
17 May 2021
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile
  Image Signal Processing
PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing
Byung-Hoon Kim
Joonyoung Song
J. C. Ye
JaeHyun Baek
18
26
0
07 Apr 2021
Mobile Computational Photography: A Tour
Mobile Computational Photography: A Tour
M. Delbracio
D. Kelly
Michael S. Brown
P. Milanfar
HAI
102
73
0
17 Feb 2021
AIM 2020 Challenge on Rendering Realistic Bokeh
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey D. Ignatov
Radu Timofte
Ming Qian
Congyu Qiao
Jiamin Lin
...
Xueqin Chen
Tengyao Wang
Max Zheng
Hulk Wong
Jay S. Zou
24
44
0
10 Nov 2020
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov
  Model Inference
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference
Xiaohong Liu
Kangdi Shi
Zhe Wang
Jun Chen
SupR
54
31
0
24 Aug 2020
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods
  and Results
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
Yuqian Zhou
Michael Kwan
Kyle Tolentino
N. Emerton
Sehoon Lim
...
L. Po
Dahai Yu
Yasar Abbas Ur Rehman
Yiqun Li
Lianping Xing
16
35
0
18 Aug 2020
Deploying Image Deblurring across Mobile Devices: A Perspective of
  Quality and Latency
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
Cheng-Ming Chiang
Yu-Wen Tseng
Yu-Syuan Xu
Hsien-Kai Kuo
Yi-Min Tsai
...
Chia-Lin Yu
B. Shen
Kloze Kao
Chia-Ming Cheng
Hung-Jen Chen
35
22
0
27 Apr 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
234
5,181
0
16 Sep 2016
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