{"total":86,"rows":[{"id":"2302.01334","title":"STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation","created":"2023-02-02","cited_by_count":37,"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":"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":"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":"2403.15132","title":"Transfer CLIP for Generalizable Image Denoising","created":"2024-03-22","cited_by_count":29,"area":null},{"id":"2309.03063","title":"Prompt-based Ingredient-Oriented All-in-One Image Restoration","created":"2023-09-06","cited_by_count":22,"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":"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":"2404.09389","title":"Masked and Shuffled Blind Spot Denoising for Real-World Images","created":"2024-04-15","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":"2412.10651","title":"LAN: Learning to Adapt Noise for Image Denoising","created":"2024-12-14","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":"2304.08990","title":"A Comparison of Image Denoising Methods","created":"2023-04-18","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":"2403.09486","title":"SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams","created":"2024-03-14","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":"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":"2211.09919","title":"Patch-Craft Self-Supervised Training for Correlated Image Denoising","created":"2022-11-17","cited_by_count":5,"area":null},{"id":"2308.03018","title":"Recurrent Spike-based Image Restoration under General Illumination","created":"2023-08-06","cited_by_count":5,"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":"2403.17502","title":"SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder","created":"2024-03-26","cited_by_count":4,"area":null},{"id":"2408.05923","title":"Image Denoising Using Green Channel Prior","created":"2024-08-12","cited_by_count":4,"area":null},{"id":"2412.04727","title":"Learning to Translate Noise for Robust Image Denoising","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2506.03645","title":"YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency","created":"2025-06-04","cited_by_count":4,"area":null},{"id":"2308.00759","title":"Decomposition Ascribed Synergistic Learning for Unified Image Restoration","created":"2023-08-01","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":"2510.09343","title":"Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark","created":"2025-10-10","cited_by_count":3,"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":"2401.00370","title":"UGPNet: Universal Generative Prior for Image Restoration","created":"2023-12-31","cited_by_count":2,"area":null},{"id":"2504.13519","title":"Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising","created":"2025-04-18","cited_by_count":2,"area":null},{"id":"2505.02705","title":"Multi-View Learning with Context-Guided Receptance for Image Denoising","created":"2025-05-05","cited_by_count":2,"area":null},{"id":"2510.15611","title":"Lightweight Data-Free Denoising for Detail-Preserving Biomedical Image Restoration","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2512.03932","title":"Beyond the Ground Truth: Enhanced Supervision for Image Restoration","created":"2025-12-03","cited_by_count":2,"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":"2310.07887","title":"Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2402.08235","title":"Color Image Denoising Using The Green Channel Prior","created":"2024-02-13","cited_by_count":1,"area":null},{"id":"2407.05285","title":"Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion","created":"2024-07-07","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":"2412.10031","title":"FM2S: Towards Spatially-Correlated Noise Modeling in Zero-Shot Fluorescence Microscopy Image Denoising","created":"2024-12-13","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":"2603.04870","title":"Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2603.25869","title":"Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2604.22886","title":"Breaking Degradation Coupling: A Structural Entropy Guided Decoupled Framework and Benchmark for Infrared Enhancement","created":"2026-04-24","cited_by_count":1,"area":null},{"id":"2605.28605","title":"Internally Referenced Low-Light Enhancement","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2607.11090","title":"Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising","created":"2026-07-13","cited_by_count":1,"area":null},{"id":"2210.00708","title":"EraseNet: A Recurrent Residual Network for Supervised Document Cleaning","created":"2022-10-03","cited_by_count":0,"area":null},{"id":"2212.02439","title":"Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings","created":"2022-12-05","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":"2312.10112","title":"NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2404.13972","title":"Non-Uniform Exposure Imaging via Neuromorphic Shutter Control","created":"2024-04-22","cited_by_count":0,"area":null},{"id":"2405.01124","title":"Investigating Self-Supervised Image Denoising with Denaturation","created":"2024-05-02","cited_by_count":0,"area":null},{"id":"2406.10679","title":"Fast Unsupervised Tensor Restoration via Low-rank Deconvolution","created":"2024-06-15","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":"2411.01472","title":"Adaptive Domain Learning for Cross-domain Image Denoising","created":"2024-11-03","cited_by_count":0,"area":null},{"id":"2508.10307","title":"Efficient Image Denoising Using Global and Local Circulant Representation","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2509.15814","title":"QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2510.02733","title":"Net2Net: When Un-trained Meets Pre-trained Networks for Robust Real-World Denoising","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2510.06757","title":"Transforming Noise Distributions with Histogram Matching: Towards a Single Denoiser for All","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.16702","title":"SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2511.13922","title":"Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar","created":"2025-11-17","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":"2604.06816","title":"Enhanced Self-Supervised Multi-Image Super-Resolution for Camera Array Images","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2605.24590","title":"Physen-Noise2Noise: Physics-Guided Self-Supervised Defocus Deblurring with Bias Correction under Low-Light Conditions","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.24593","title":"Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.24716","title":"Physics-Guided Self-Supervised Statistical Residual Learning for Sonar Despeckling with Improved Generalization","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2606.23098","title":"Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.08198","title":"Unpaired Joint Distribution Modeling via Multi-Scale Image Representations","created":"2026-07-09","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},{"id":"2608.29038","title":"sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.01370","title":"Diffusion Based Unpaired Data Learning for Inverse Problems","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.16788","title":"Noise2Noise Revisited: Training Pair Distributions Dominate Loss Choice in Self-Supervised Denoising","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.31670","title":"One-Step Is Optimal: Unconditional Rectified Flows are Noise2Noise Denoisers, and Multi-Step Integration Provably Hurts---A Benchmark and Task-Based Detectability Study on Low-Dose CT","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.32844","title":"Mask2Restore: Self-Supervised Ultrasound Despeckling via Inpainting","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}