{"total":23,"rows":[{"id":"2108.09079","title":"Structure-Preserving Deraining with Residue Channel Prior Guidance","created":"2021-08-20","cited_by_count":63,"area":null},{"id":"2310.03535","title":"Towards Unified Deep Image Deraining: A Survey and A New Benchmark","created":"2023-10-05","cited_by_count":34,"area":null},{"id":"2108.03581","title":"Visible Watermark Removal via Self-calibrated Localization and Background Refinement","created":"2021-08-08","cited_by_count":14,"area":null},{"id":"2305.15134","title":"Networks are Slacking Off: Understanding Generalization Problem in Image Deraining","created":"2023-05-24","cited_by_count":14,"area":null},{"id":"2406.13607","title":"Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution","created":"2024-06-19","cited_by_count":14,"area":null},{"id":"2202.06568","title":"Online-updated High-order Collaborative Networks for Single Image Deraining","created":"2022-02-14","cited_by_count":13,"area":null},{"id":"2406.00721","title":"Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks","created":"2024-06-02","cited_by_count":7,"area":null},{"id":"2505.16161","title":"Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2111.03615","title":"Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM","created":"2021-11-05","cited_by_count":4,"area":null},{"id":"2207.04293","title":"Attention and Self-Attention in Random Forests","created":"2022-07-09","cited_by_count":4,"area":null},{"id":"2502.12600","title":"Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2202.03031","title":"A comprehensive benchmark analysis for sand dust image reconstruction","created":"2022-02-07","cited_by_count":3,"area":null},{"id":"2105.15077","title":"SDNet: mutil-branch for single image deraining using swin","created":"2021-05-31","cited_by_count":2,"area":null},{"id":"2507.18064","title":"Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement","created":"2025-07-24","cited_by_count":2,"area":null},{"id":"2112.01924","title":"TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysis","created":"2021-12-03","cited_by_count":1,"area":null},{"id":"2403.10336","title":"How Powerful Potential of Attention on Image Restoration?","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2503.20315","title":"SpikeDerain: Unveiling Clear Videos from Rainy Sequences Using Color Spike Streams","created":"2025-03-26","cited_by_count":1,"area":null},{"id":"2608.06939","title":"Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2506.07933","title":"Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions","created":"2025-06-09","cited_by_count":0,"area":null},{"id":"2607.23451","title":"Multi-Modal Object Re-Identification with Prompt-S6 and Semantic-Aware Knowledge Guidance","created":"2026-07-26","cited_by_count":0,"area":null},{"id":"2607.28526","title":"What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2607.29207","title":"Multi-Modal Object Re-Identification with Dual Semantic Guidance and Global-Local Mutual Modulation","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.20263","title":"Ultra-High-Definition Restoration Transformers with Correlation Matching Transformation","created":"2026-08-18","cited_by_count":0,"area":null}],"next_cursor":null}