{"total":74,"rows":[{"id":"2207.12396","title":"Exploring CLIP for Assessing the Look and Feel of Images","created":"2022-07-25","cited_by_count":991,"area":null},{"id":"2310.10123","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","created":"2023-10-16","cited_by_count":100,"area":"diffusion"},{"id":"2303.11253","title":"Zero-Shot Noise2Noise: Efficient Image Denoising without any Data","created":"2023-03-20","cited_by_count":61,"area":null},{"id":"2112.06074","title":"Early Stopping for Deep Image Prior","created":"2021-12-11","cited_by_count":44,"area":null},{"id":"2412.01427","title":"FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration","created":"2024-12-02","cited_by_count":39,"area":null},{"id":"2209.12394","title":"Multi-stage image denoising with the wavelet transform","created":"2022-09-26","cited_by_count":37,"area":null},{"id":"2403.15132","title":"Transfer CLIP for Generalizable Image Denoising","created":"2024-03-22","cited_by_count":29,"area":null},{"id":"2203.04313","title":"Multi-Scale Adaptive Network for Single Image Denoising","created":"2022-03-08","cited_by_count":17,"area":null},{"id":"2206.01103","title":"Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images","created":"2022-06-02","cited_by_count":17,"area":null},{"id":"2307.03992","title":"Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling","created":"2023-07-08","cited_by_count":17,"area":"diffusion"},{"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":"2306.05390","title":"HQ-50K: A Large-scale, High-quality Dataset for Image Restoration","created":"2023-06-08","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":"2201.04397","title":"Towards Adversarially Robust Deep Image Denoising","created":"2022-01-12","cited_by_count":13,"area":null},{"id":"2203.08857","title":"Noisy Tensor Completion via Low-rank Tensor Ring","created":"2022-03-14","cited_by_count":13,"area":null},{"id":"2204.02405","title":"Zero-shot Blind Image Denoising via Implicit Neural Representations","created":"2022-04-05","cited_by_count":12,"area":null},{"id":"2310.04414","title":"CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis","created":"2023-10-06","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":"2304.11409","title":"The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior","created":"2023-04-22","cited_by_count":11,"area":null},{"id":"2307.00761","title":"Learning Degradation-Independent Representations for Camera ISP Pipelines","created":"2023-07-03","cited_by_count":11,"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":"2412.10651","title":"LAN: Learning to Adapt Noise for Image Denoising","created":"2024-12-14","cited_by_count":10,"area":null},{"id":"2303.16425","title":"Real-time Controllable Denoising for Image and Video","created":"2023-03-29","cited_by_count":9,"area":null},{"id":"2512.09282","title":"FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model","created":"2025-12-10","cited_by_count":9,"area":"diffusion"},{"id":"2304.10250","title":"Revisiting Implicit Neural Representations in Low-Level Vision","created":"2023-04-20","cited_by_count":8,"area":null},{"id":"2305.00767","title":"RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset","created":"2023-05-01","cited_by_count":8,"area":null},{"id":"2105.04746","title":"Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network","created":"2021-05-11","cited_by_count":7,"area":null},{"id":"2304.08990","title":"A Comparison of Image Denoising Methods","created":"2023-04-18","cited_by_count":7,"area":null},{"id":"2309.05049","title":"Multi-view Self-supervised Disentanglement for General Image Denoising","created":"2023-09-10","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":"2203.09995","title":"Elastica Models for Color Image Regularization","created":"2022-03-18","cited_by_count":6,"area":null},{"id":"2211.07286","title":"CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser","created":"2022-11-14","cited_by_count":6,"area":null},{"id":"2310.10408","title":"A cross Transformer for image denoising","created":"2023-10-16","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":"2409.07797","title":"Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction","created":"2024-09-12","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":"2211.09919","title":"Patch-Craft Self-Supervised Training for Correlated Image Denoising","created":"2022-11-17","cited_by_count":5,"area":null},{"id":"2305.14022","title":"Realistic Noise Synthesis with Diffusion Models","created":"2023-05-23","cited_by_count":5,"area":"diffusion"},{"id":"2301.13554","title":"NoiseTransfer: Image Noise Generation with Contrastive Embeddings","created":"2023-01-31","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":"2207.02066","title":"Test-time Adaptation for Real Image Denoising via Meta-transfer Learning","created":"2022-07-05","cited_by_count":3,"area":null},{"id":"2210.05553","title":"Evaluating Unsupervised Denoising Requires Unsupervised Metrics","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2211.14298","title":"PIP: Positional-encoding Image Prior","created":"2022-11-25","cited_by_count":3,"area":null},{"id":"2305.11049","title":"NODE-ImgNet: a PDE-informed effective and robust model for image denoising","created":"2023-05-18","cited_by_count":3,"area":null},{"id":"2307.10695","title":"Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment Loss","created":"2023-07-20","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":"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":"2112.05456","title":"Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles","created":"2021-12-10","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":"2512.03932","title":"Beyond the Ground Truth: Enhanced Supervision for Image Restoration","created":"2025-12-03","cited_by_count":2,"area":null},{"id":"2608.16793","title":"PixRestore: Unified Image Restoration via Pixel Diffusion Transformer","created":"2026-08-17","cited_by_count":2,"area":"diffusion"},{"id":"2402.08235","title":"Color Image Denoising Using The Green Channel Prior","created":"2024-02-13","cited_by_count":1,"area":null},{"id":"2505.22284","title":"From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2506.12693","title":"Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework","created":"2025-06-15","cited_by_count":1,"area":null},{"id":"2507.20447","title":"WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope","created":"2025-07-28","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":"2605.31039","title":"GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration","created":"2026-05-29","cited_by_count":1,"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":"2410.17521","title":"Diffusion Priors for Variational Likelihood Estimation and Image Denoising","created":"2024-10-23","cited_by_count":0,"area":"diffusion"},{"id":"2508.10307","title":"Efficient Image Denoising Using Global and Local Circulant Representation","created":"2025-08-14","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":"2510.12646","title":"Zero-Shot CFC: Fast Real-World Image Denoising based on Cross-Frequency Consistency","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2512.04456","title":"GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis","created":"2025-12-04","cited_by_count":0,"area":"diffusion"},{"id":"2512.05268","title":"CARD: Correlation Aware Restoration with Diffusion","created":"2025-12-04","cited_by_count":0,"area":"diffusion"},{"id":"2512.23569","title":"Image Denoising Using Global and Local Circulant Representation","created":"2025-12-29","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":"2607.02952","title":"Pooling-Based Context Modeling for Convolution-Free Deep Image Prior","created":"2026-07-03","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":"2607.16320","title":"The Devil is in the Dark Pixels: Toward Brightness Bias-Robust Denoising","created":"2026-07-15","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":"2610.10133","title":"HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration","created":"2026-10-07","cited_by_count":0,"area":"agents"}],"next_cursor":null}