ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.15487
  4. Cited By
BSRAW: Improving Blind RAW Image Super-Resolution

BSRAW: Improving Blind RAW Image Super-Resolution

24 December 2023
Marcos V. Conde
Florin-Alexandru Vasluianu
Radu Timofte
ArXivPDFHTML

Papers citing "BSRAW: Improving Blind RAW Image Super-Resolution"

8 / 8 papers shown
Title
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
24
17
0
28 Oct 2022
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and
  Restoration
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration
Marcos V. Conde
Ui-Jin Choi
Maxime Burchi
Radu Timofte
ViT
46
130
0
22 Sep 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
46
0
17 May 2021
Mobile Computational Photography: A Tour
Mobile Computational Photography: A Tour
M. Delbracio
D. Kelly
Michael S. Brown
P. Milanfar
HAI
94
73
0
17 Feb 2021
Deep Unfolding Network for Image Super-Resolution
Deep Unfolding Network for Image Super-Resolution
K. Zhang
Luc Van Gool
Radu Timofte
SupR
108
535
0
23 Mar 2020
CycleISP: Real Image Restoration via Improved Data Synthesis
CycleISP: Real Image Restoration via Improved Data Synthesis
Syed Waqas Zamir
Aditya Arora
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
Ling Shao
DiffM
105
334
0
17 Mar 2020
Unsupervised Learning for Real-World Super-Resolution
Unsupervised Learning for Real-World Super-Resolution
Andreas Lugmayr
Martin Danelljan
Radu Timofte
SSL
SupR
127
167
0
20 Sep 2019
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
168
1,157
0
04 May 2018
1