Cover Image

Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shan, Yiwen, Zhao, Haiyu, Hu, Peng, Peng, Xi, Gou, Yuanbiao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LaverNet: Lightweight All-in-one Video Restoration via Selective Propagation
by: Zhao, Haiyu, et al.
Published: (2025)

MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
by: Li, Boyun, et al.
Published: (2024)

Test-Time Degradation Adaptation for Open-Set Image Restoration
by: Gou, Yuanbiao, et al.
Published: (2023)

Learning Subspace-Preserving Sparse Attention Graphs from Heterogeneous Multiview Data
by: Chen, Jie, et al.
Published: (2026)

Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
by: Chen, Shiyan, et al.
Published: (2023)

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

Rotation-Equivariant Self-Supervised Method in Image Denoising
by: Liu, Hanze, et al.
Published: (2025)

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

NSARM: Next-Scale Autoregressive Modeling for Robust Real-World Image Super-Resolution
by: Kong, Xiangtao, et al.
Published: (2025)

NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset
by: Xu, Rongjian, et al.
Published: (2024)

Measuring and Controlling the Spectral Bias for Self-Supervised Image Denoising
by: Zhang, Wang, et al.
Published: (2025)

AIM 2025 Challenge on Real-World RAW Image Denoising
by: Li, Feiran, et al.
Published: (2025)

Blind-Spot Guided Diffusion for Self-supervised Real-World Denoising
by: Cheng, Shen, et al.
Published: (2025)

Boosting General Trimap-free Matting in the Real-World Image
by: Zhao, Leo Shan Wenzhang Zhou Grace
Published: (2024)

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

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
by: Li, Haiyu, et al.
Published: (2025)

RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
by: Yang, Yufeng, et al.
Published: (2026)

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
by: Tian, Keyu, et al.
Published: (2024)

SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
by: Papkov, Mikhail, et al.
Published: (2023)

SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization
by: Peng, Liang, et al.
Published: (2025)

Denoise-I2W: Mapping Images to Denoising Words for Accurate Zero-Shot Composed Image Retrieval
by: Tang, Yuanmin, et al.
Published: (2024)

OccTENS: 3D Occupancy World Model via Temporal Next-Scale Prediction
by: Jin, Bu, et al.
Published: (2025)

Advancing Real-World Parking Slot Detection with Large-Scale Dataset and Semi-Supervised Baseline
by: Zhang, Zhihao, et al.
Published: (2025)

Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
by: Chang, Chun-Peng, et al.
Published: (2026)

Self-Supervised Learning for Real-World Object Detection: a Survey
by: Ciocarlan, Alina, et al.
Published: (2024)

Masked and Shuffled Blind Spot Denoising for Real-World Images
by: Chihaoui, Hamadi, et al.
Published: (2024)

Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
by: Li, Tong, et al.
Published: (2024)

Masked Next-Scale Prediction for Self-supervised Scene Text Recognition
by: Chen, Zhuohao, et al.
Published: (2026)

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

Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising
by: Chen, Zikang, et al.
Published: (2024)

MMSD3.0: A Multi-Image Benchmark for Real-World Multimodal Sarcasm Detection
by: Zhao, Haochen, et al.
Published: (2025)

SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation
by: Nguyen, Huy Minh Nhat, et al.
Published: (2025)

MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
by: Li, Haotang, et al.
Published: (2025)

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
by: Xiao, Peng, et al.
Published: (2025)

Diffusion Priors for Variational Likelihood Estimation and Image Denoising
by: Cheng, Jun, et al.
Published: (2024)

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

Zero-Shot CFC: Fast Real-World Image Denoising based on Cross-Frequency Consistency
by: Jiang, Yanlin, et al.
Published: (2025)

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
by: Su, Junming, et al.
Published: (2024)

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

RTS-Mono: A Real-Time Self-Supervised Monocular Depth Estimation Method for Real-World Deployment
by: Cheng, Zeyu, et al.
Published: (2025)