Copertina

Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Junyi, Zhang, Zhilu, Zuo, Wangmeng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
di: Park, Junyoung, et al.
Pubblicazione: (2026)

Exposure Bracketing Is All You Need For A High-Quality Image
di: Zhang, Zhilu, et al.
Pubblicazione: (2024)

MDIQA: Unified Image Quality Assessment for Multi-dimensional Evaluation and Restoration
di: Yao, Shunyu, et al.
Pubblicazione: (2025)

Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusion
di: Huang, He, et al.
Pubblicazione: (2025)

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
di: Liao, Xiangyu, et al.
Pubblicazione: (2024)

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
di: Zhang, Dan, et al.
Pubblicazione: (2023)

Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack
di: Ning, Jie, et al.
Pubblicazione: (2023)

Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume
di: Zhou, Langrui, et al.
Pubblicazione: (2024)

Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
di: Herbreteau, Sébastien, et al.
Pubblicazione: (2024)

A Self-Supervised Denoising Strategy for Underwater Acoustic Camera Imageries
di: Zhou, Xiaoteng, et al.
Pubblicazione: (2024)

Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
di: Lorenzana, Marlon Bran, et al.
Pubblicazione: (2023)

Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
di: Hu, Jintong, et al.
Pubblicazione: (2024)

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency
di: Feng, Hansen, et al.
Pubblicazione: (2025)

CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing
di: Janjušević, Nikola, et al.
Pubblicazione: (2021)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
di: Demir, Basar, et al.
Pubblicazione: (2025)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
di: Wu, Chenxu, et al.
Pubblicazione: (2025)

HIDFlowNet: A Flow-Based Deep Network for Hyperspectral Image Denoising
di: Wang, Qizhou, et al.
Pubblicazione: (2023)

Self-Supervised Denoiser Framework
di: Valat, Emilien, et al.
Pubblicazione: (2024)

Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
di: Pei, Haoyang, et al.
Pubblicazione: (2025)

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
di: Chen, Jingjia, et al.
Pubblicazione: (2025)

Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising
di: Liang, Hao, et al.
Pubblicazione: (2024)

SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
di: Zhang, Zeren, et al.
Pubblicazione: (2023)

Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing
di: Tang, Po-Wei, et al.
Pubblicazione: (2025)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
di: Fu, Guanyiman, et al.
Pubblicazione: (2023)

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
di: Monroy, Brayan, et al.
Pubblicazione: (2026)

Application of convolutional neural networks in image super-resolution
di: Tian, Chunwei, et al.
Pubblicazione: (2025)

Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention
di: Yan, Jiebin, et al.
Pubblicazione: (2025)

Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising
di: Hu, Shuai, et al.
Pubblicazione: (2024)

Two-stage Progressive Residual Dense Attention Network for Image Denoising
di: Wu, Wencong, et al.
Pubblicazione: (2024)

Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
di: Huang, Yuanfei, et al.
Pubblicazione: (2024)

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
di: Liu, Xiwei, et al.
Pubblicazione: (2024)

A CT Image Denoising Method Based on Projection Domain Feature
di: Sun, Mengyu, et al.
Pubblicazione: (2024)

Supervision by Denoising for Medical Image Segmentation
di: Young, Sean I., et al.
Pubblicazione: (2022)

Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding
di: Dong, Cunhui, et al.
Pubblicazione: (2024)

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
di: Fu, Zixuan, et al.
Pubblicazione: (2024)

Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
di: Sun, Liyan, et al.
Pubblicazione: (2025)

Representing Noisy Image Without Denoising
di: Qi, Shuren, et al.
Pubblicazione: (2023)

SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
di: Yao, Xing, et al.
Pubblicazione: (2024)

SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)