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Descanning: From Scanned to the Original Images with a Color Correction
  Diffusion Model

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

8 February 2024
Junghun Cha
Ali Haider
Seoyun Yang
Hoeyeong Jin
Subin Yang
A. Uddin
Jaehyoung Kim
Soo Ye Kim
Sung-Ho Bae
    DiffM
ArXivPDFHTML

Papers citing "Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model"

7 / 7 papers shown
Title
I-INR: Iterative Implicit Neural Representations
I-INR: Iterative Implicit Neural Representations
Ali Haider
Muhammad Salman Ali
Maryam Qamar
Tahir Khalil
Soo Ye Kim
Jihyong Oh
Enzo Tartaglione
Sung-Ho Bae
30
0
0
24 Apr 2025
LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond
LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond
Md Tanvir Islam
Inzamamul Alam
Simon Woo
Saeed Anwar
IK Hyun Lee
Khan Muhammad
ViT
30
0
0
13 Oct 2024
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
163
768
0
27 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
187
508
0
06 Dec 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
203
19,191
0
21 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
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