{"total":74,"rows":[{"id":"2101.02824","title":"Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images","created":"2021-01-08","cited_by_count":173,"area":null},{"id":"2203.11799","title":"AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network","created":"2022-03-22","cited_by_count":93,"area":null},{"id":"2203.06967","title":"Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots","created":"2022-03-14","cited_by_count":84,"area":null},{"id":"2407.18035","title":"RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models","created":"2024-07-25","cited_by_count":43,"area":"mllm"},{"id":"2210.08160","title":"Learning Dual Memory Dictionaries for Blind Face Restoration","created":"2022-10-15","cited_by_count":40,"area":null},{"id":"2304.00534","title":"LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising","created":"2023-04-02","cited_by_count":37,"area":null},{"id":"2111.14358","title":"IDR: Self-Supervised Image Denoising via Iterative Data Refinement","created":"2021-11-29","cited_by_count":36,"area":null},{"id":"2303.14934","title":"Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising","created":"2023-03-27","cited_by_count":33,"area":null},{"id":"2307.16825","title":"Random Sub-Samples Generation for Self-Supervised Real Image Denoising","created":"2023-07-31","cited_by_count":31,"area":null},{"id":"2101.05796","title":"DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows","created":"2021-01-14","cited_by_count":30,"area":null},{"id":"2304.01598","title":"MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network","created":"2023-04-04","cited_by_count":30,"area":null},{"id":"2308.06776","title":"Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches","created":"2023-08-13","cited_by_count":29,"area":null},{"id":"2108.02574","title":"Optimal Transport for Unsupervised Denoising Learning","created":"2021-08-04","cited_by_count":24,"area":null},{"id":"2105.10967","title":"FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise","created":"2021-05-23","cited_by_count":22,"area":null},{"id":"2503.09403","title":"Multi-Agent Image Restoration","created":"2025-03-12","cited_by_count":21,"area":null},{"id":"2204.10090","title":"Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach","created":"2022-04-21","cited_by_count":18,"area":null},{"id":"2211.07317","title":"Self-Supervised Image Restoration with Blurry and Noisy Pairs","created":"2022-11-14","cited_by_count":17,"area":null},{"id":"2303.16783","title":"Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios","created":"2023-03-29","cited_by_count":17,"area":null},{"id":"2308.00247","title":"Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review","created":"2023-08-01","cited_by_count":17,"area":null},{"id":"2310.10088","title":"PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising","created":"2023-10-16","cited_by_count":16,"area":null},{"id":"2308.04682","title":"Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising","created":"2023-08-09","cited_by_count":15,"area":null},{"id":"2204.01716","title":"Estimating Fine-Grained Noise Model via Contrastive Learning","created":"2022-04-03","cited_by_count":14,"area":null},{"id":"2304.01627","title":"Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer","created":"2023-04-04","cited_by_count":13,"area":null},{"id":"2304.09507","title":"Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network","created":"2023-04-19","cited_by_count":12,"area":null},{"id":"2508.19649","title":"IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising","created":"2025-08-27","cited_by_count":12,"area":null},{"id":"2103.10234","title":"Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser","created":"2021-03-18","cited_by_count":10,"area":null},{"id":"2405.01725","title":"Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey","created":"2024-05-02","cited_by_count":10,"area":null},{"id":"2404.07846","title":"Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising","created":"2024-04-11","cited_by_count":9,"area":null},{"id":"2507.06828","title":"Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Data","created":"2025-07-09","cited_by_count":9,"area":null},{"id":"2308.03608","title":"Recurrent Self-Supervised Video Denoising with Denser Receptive Field","created":"2023-08-07","cited_by_count":8,"area":null},{"id":"2105.09437","title":"End-to-End Unsupervised Document Image Blind Denoising","created":"2021-05-19","cited_by_count":7,"area":null},{"id":"2408.09241","title":"Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration","created":"2024-08-17","cited_by_count":7,"area":null},{"id":"2102.09858","title":"ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising","created":"2021-02-19","cited_by_count":6,"area":null},{"id":"2404.14132","title":"CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task","created":"2024-04-22","cited_by_count":6,"area":null},{"id":"2407.06514","title":"Asymmetric Mask Scheme for Self-Supervised Real Image Denoising","created":"2024-07-09","cited_by_count":6,"area":null},{"id":"2407.10062","title":"SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion","created":"2024-07-14","cited_by_count":6,"area":null},{"id":"2409.11256","title":"Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers","created":"2024-09-17","cited_by_count":6,"area":null},{"id":"2412.16460","title":"Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising","created":"2024-12-21","cited_by_count":6,"area":null},{"id":"2505.19618","title":"Rotation-Equivariant Self-Supervised Method in Image Denoising","created":"2025-05-26","cited_by_count":6,"area":null},{"id":"2208.11803","title":"Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising","created":"2022-08-25","cited_by_count":5,"area":null},{"id":"2208.14704","title":"ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer","created":"2022-08-31","cited_by_count":5,"area":null},{"id":"2502.06432","title":"Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising","created":"2025-02-10","cited_by_count":5,"area":"diffusion"},{"id":"2206.03691","title":"Robust Deep Ensemble Method for Real-world Image Denoising","created":"2022-06-08","cited_by_count":4,"area":null},{"id":"2304.08384","title":"Unsupervised Image Denoising with Score Function","created":"2023-04-17","cited_by_count":4,"area":null},{"id":"2305.09890","title":"SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-Similarity","created":"2023-05-17","cited_by_count":4,"area":null},{"id":"2407.17399","title":"Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising","created":"2024-07-24","cited_by_count":4,"area":null},{"id":"2205.15867","title":"Median Pixel Difference Convolutional Network for Robust Face Recognition","created":"2022-05-30","cited_by_count":3,"area":null},{"id":"2401.14966","title":"Masked Pre-training Enables Universal Zero-shot Denoiser","created":"2024-01-26","cited_by_count":3,"area":null},{"id":"2505.12191","title":"Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum","created":"2025-05-18","cited_by_count":3,"area":null},{"id":"2102.06120","title":"Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning","created":"2021-02-11","cited_by_count":2,"area":null},{"id":"2108.00478","title":"CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise","created":"2021-08-01","cited_by_count":2,"area":null},{"id":"2109.04970","title":"View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution","created":"2021-09-10","cited_by_count":2,"area":null},{"id":"2207.13861","title":"DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer","created":"2022-07-28","cited_by_count":2,"area":null},{"id":"2305.05651","title":"SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions","created":"2023-05-09","cited_by_count":2,"area":null},{"id":"2412.07256","title":"Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring","created":"2024-12-10","cited_by_count":2,"area":null},{"id":"2509.16091","title":"Blind-Spot Guided Diffusion for Self-supervised Real-World Denoising","created":"2025-09-19","cited_by_count":2,"area":"diffusion"},{"id":"2210.14156","title":"Motion correction in MRI using deep learning and a novel hybrid loss function","created":"2022-10-19","cited_by_count":1,"area":null},{"id":"2301.00555","title":"Scene Structure Guidance Network: Unfolding Graph Partitioning into Pixel-Wise Feature Learning","created":"2023-01-02","cited_by_count":1,"area":null},{"id":"2301.13358","title":"Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond","created":"2023-01-31","cited_by_count":1,"area":null},{"id":"2303.05183","title":"Blind2Sound: Self-Supervised Image Denoising without Residual Noise","created":"2023-03-09","cited_by_count":1,"area":null},{"id":"2411.15248","title":"J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume","created":"2024-11-22","cited_by_count":1,"area":null},{"id":"2503.21377","title":"Unsupervised Real-World Denoising: Sparsity is All You Need","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2512.21038","title":"Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising","created":"2025-12-24","cited_by_count":1,"area":null},{"id":"2106.11644","title":"NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations","created":"2021-06-22","cited_by_count":0,"area":null},{"id":"2302.10523","title":"I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images","created":"2023-02-21","cited_by_count":0,"area":null},{"id":"2304.03129","title":"Spike Stream Denoising via Spike Camera Simulation","created":"2023-04-06","cited_by_count":0,"area":null},{"id":"2406.14264","title":"Zero-Shot Image Denoising for High-Resolution Electron Microscopy","created":"2024-06-20","cited_by_count":0,"area":null},{"id":"2410.02628","title":"Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization","created":"2024-10-03","cited_by_count":0,"area":null},{"id":"2511.16623","title":"Adaptive Guided Upsampling for Low-light Image Enhancement","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2601.14180","title":"Progressive Masked Refinement Self-supervised Learning for Low-Dose CT Denoising","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2603.10417","title":"Frames2Residual: Spatiotemporal Decoupling for Self-Supervised Video Denoising","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2604.04484","title":"TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2605.11109","title":"Deploying Self-Supervised Learning for Real Seismic Data Denoising","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2607.09193","title":"YeTI: You Only Need Two Noisy Images for Real-World sRGB Noise Generation","created":"2026-07-10","cited_by_count":0,"area":null}],"next_cursor":null}