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. 2206.01103
  4. Cited By
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images

2 June 2022
Ali Maleky
Shayan Kousha
M. S. Brown
Marcus A. Brubaker
    VLM
    DiffM
ArXivPDFHTML

Papers citing "Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images"

13 / 13 papers shown
Title
Blind Augmentation: Calibration-free Camera Distortion Model Estimation for Real-time Mixed-reality Consistency
Siddhant Prakash
David R. Walton
R. K. D. Anjos
A. Steed
Tobias Ritschel
29
0
0
03 Mar 2025
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and
  Deblurring
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
Yuzhi Zhao
L. Po
Xin Ye
Yongzhe Xu
Qiong Yan
70
1
0
10 Dec 2024
Adaptive Domain Learning for Cross-domain Image Denoising
Adaptive Domain Learning for Cross-domain Image Denoising
Zian Qian
Chenyang Qi
K. L. Law
Hao Fu
Chenyang Lei
Qifeng Chen
23
0
0
03 Nov 2024
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising
  Transformer
Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
Yuanfei Huang
Hua Huang
ViT
40
1
0
12 Jul 2024
LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising
LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising
Yuxing Duan
Shihan Peng
Lin Zhu
Wei Zhang
Yi Chang
Sheng Zhong
Luxin Yan
27
6
0
30 May 2024
BSRAW: Improving Blind RAW Image Super-Resolution
BSRAW: Improving Blind RAW Image Super-Resolution
Marcos V. Conde
Florin-Alexandru Vasluianu
Radu Timofte
22
6
0
24 Dec 2023
NM-FlowGAN: Modeling sRGB Noise with a Hybrid Approach based on
  Normalizing Flows and Generative Adversarial Networks
NM-FlowGAN: Modeling sRGB Noise with a Hybrid Approach based on Normalizing Flows and Generative Adversarial Networks
Young Joo Han
Ha-Jin Yu
10
1
0
15 Dec 2023
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the
  Noise Model
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model
Xin Jin
Jianqiang Xiao
Linghao Han
Chunle Guo
Xialei Liu
Chongyi Li
Ruixun Zhang
19
3
0
07 Aug 2023
Stimulating the Diffusion Model for Image Denoising via Adaptive
  Embedding and Ensembling
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Tong Li
Hansen Feng
Lizhi Wang
Zhiwei Xiong
Huan Huang
DiffM
19
1
0
08 Jul 2023
Self-supervised Image Denoising with Downsampled Invariance Loss and
  Conditional Blind-Spot Network
Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network
Y. Jang
Keun-Ohk Lee
G. Park
Seyun Kim
N. Cho
11
14
0
19 Apr 2023
A Generative Model for Digital Camera Noise Synthesis
A Generative Model for Digital Camera Noise Synthesis
M. Song
Yang Zhang
T. Aydin
Elham Amin Mansour
DisneyResearchStudios
VLM
11
4
0
16 Mar 2023
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Patch-Craft Self-Supervised Training for Correlated Image Denoising
Gregory Vaksman
Michael Elad
24
6
0
17 Nov 2022
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in
  Synthesized and Real Video Denoising
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising
Jiezhang Cao
Qin Wang
Jingyun Liang
Yulun Zhang
K. Zhang
Radu Timofte
Luc Van Gool
19
7
0
25 Aug 2022
1