{"total":30,"rows":[{"id":"2303.13132","title":"Masked Image Training for Generalizable Deep Image Denoising","created":"2023-03-23","cited_by_count":57,"area":null},{"id":"2407.11087","title":"Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV","created":"2024-07-14","cited_by_count":36,"area":null},{"id":"2503.13165","title":"From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective","created":"2025-03-17","cited_by_count":23,"area":null},{"id":"2504.12276","title":"The Tenth NTIRE 2025 Image Denoising Challenge Report","created":"2025-04-16","cited_by_count":21,"area":null},{"id":"2407.15240","title":"BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models","created":"2024-07-21","cited_by_count":18,"area":null},{"id":"2405.20008","title":"Sharing Key Semantics in Transformer Makes Efficient Image Restoration","created":"2024-05-30","cited_by_count":14,"area":null},{"id":"2506.16961","title":"Reversing Flow for Image Restoration","created":"2025-06-20","cited_by_count":10,"area":null},{"id":"2508.01506","title":"FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models","created":"2025-08-02","cited_by_count":9,"area":null},{"id":"2504.11286","title":"Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior","created":"2025-04-15","cited_by_count":7,"area":null},{"id":"2412.16645","title":"Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising","created":"2024-12-21","cited_by_count":5,"area":null},{"id":"2404.08514","title":"NIR-Assisted Image Denoising: A Selective Fusion Approach and A Real-World Benchmark Dataset","created":"2024-04-12","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":"2412.04727","title":"Learning to Translate Noise for Robust Image Denoising","created":"2024-12-06","cited_by_count":4,"area":null},{"id":"2402.02634","title":"Key-Graph Transformer for Image Restoration","created":"2024-02-04","cited_by_count":3,"area":null},{"id":"2603.02581","title":"ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration","created":"2026-03-03","cited_by_count":3,"area":null},{"id":"2408.12742","title":"TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing","created":"2024-08-22","cited_by_count":2,"area":null},{"id":"2503.17825","title":"Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration","created":"2025-03-22","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":"2606.18644","title":"Spiking Pyramid Wavelet Transformation for High-efficient and Low-energy Image Restoration","created":"2026-06-17","cited_by_count":2,"area":null},{"id":"2408.03842","title":"Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression","created":"2024-08-07","cited_by_count":1,"area":null},{"id":"2410.03505","title":"Classification-Denoising Networks","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2411.11189","title":"Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature","created":"2024-11-17","cited_by_count":1,"area":null},{"id":"2411.18588","title":"Hierarchical Information Flow for Generalized Efficient Image Restoration","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2606.16031","title":"The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2503.06966","title":"MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2508.02967","title":"Towards Robust Image Denoising with Scale Equivariance","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2508.07211","title":"Similarity Matters: A Novel Depth-guided Network for Image Restoration and A New Dataset","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2603.01449","title":"Revisiting Global Token Mixing in Task-Dependent MRI Restoration: Insights from Minimal Gated CNN Baselines","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2604.17453","title":"Learned Nonlocal Feature Matching and Filtering for RAW Image Denoising","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2605.25892","title":"SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution","created":"2026-05-25","cited_by_count":0,"area":null}],"next_cursor":null}