{"total":161,"rows":[{"id":"2406.11824","title":"Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation","created":"2024-06-17","cited_by_count":137,"area":null},{"id":"2303.10883","title":"Explicit Visual Prompting for Low-Level Structure Segmentations","created":"2023-03-20","cited_by_count":114,"area":null},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109,"area":"diffusion"},{"id":"2212.04711","title":"ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal","created":"2022-12-09","cited_by_count":103,"area":"diffusion"},{"id":"2103.01255","title":"Auto-Exposure Fusion for Single-Image Shadow Removal","created":"2021-03-01","cited_by_count":79,"area":null},{"id":"2108.08617","title":"Spatially-Adaptive Image Restoration using Distortion-Guided Networks","created":"2021-08-19","cited_by_count":77,"area":null},{"id":"2403.18818","title":"ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion","created":"2024-03-27","cited_by_count":71,"area":"diffusion"},{"id":"2207.10434","title":"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network","created":"2022-07-21","cited_by_count":69,"area":null},{"id":"2308.13712","title":"Residual Denoising Diffusion Models","created":"2023-08-25","cited_by_count":69,"area":"diffusion"},{"id":"2408.04579","title":"SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More","created":"2024-08-08","cited_by_count":60,"area":null},{"id":"2410.15067","title":"A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends","created":"2024-10-19","cited_by_count":60,"area":null},{"id":"2103.12997","title":"From Shadow Generation to Shadow Removal","created":"2021-03-24","cited_by_count":55,"area":null},{"id":"2203.06074","title":"TAPE: Task-Agnostic Prior Embedding for Image Restoration","created":"2022-03-11","cited_by_count":55,"area":null},{"id":"2304.09148","title":"SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More","created":"2023-04-18","cited_by_count":53,"area":null},{"id":"2108.09894","title":"CANet: A Context-Aware Network for Shadow Removal","created":"2021-08-23","cited_by_count":47,"area":null},{"id":"2211.08089","title":"DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity","created":"2022-11-15","cited_by_count":38,"area":null},{"id":"2308.14221","title":"High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net","created":"2023-08-27","cited_by_count":36,"area":null},{"id":"2302.01650","title":"ShadowFormer: Global Context Helps Image Shadow Removal","created":"2023-02-03","cited_by_count":35,"area":null},{"id":"2204.09341","title":"OutCast: Outdoor Single-image Relighting with Cast Shadows","created":"2022-04-20","cited_by_count":30,"area":null},{"id":"2312.02156","title":"Latent Feature-Guided Diffusion Models for Shadow Removal","created":"2023-12-04","cited_by_count":29,"area":"diffusion"},{"id":"2101.01713","title":"Learning from Synthetic Shadows for Shadow Detection and Removal","created":"2021-01-05","cited_by_count":27,"area":null},{"id":"2402.00341","title":"Recasting Regional Lighting for Shadow Removal","created":"2024-02-01","cited_by_count":23,"area":null},{"id":"2207.04614","title":"Instance Shadow Detection with A Single-Stage Detector","created":"2022-07-11","cited_by_count":22,"area":null},{"id":"2410.20197","title":"Transferable Adversarial Attacks on SAM and Its Downstream Models","created":"2024-10-26","cited_by_count":21,"area":null},{"id":"2406.02559","title":"ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer","created":"2024-04-18","cited_by_count":20,"area":null},{"id":"2308.12064","title":"SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels","created":"2023-08-23","cited_by_count":19,"area":null},{"id":"2311.14900","title":"Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise","created":"2023-11-25","cited_by_count":19,"area":"diffusion"},{"id":"2410.01719","title":"OmniSR: Shadow Removal under Direct and Indirect Lighting","created":"2024-10-02","cited_by_count":19,"area":null},{"id":"2108.11364","title":"Blind Image Decomposition","created":"2021-08-25","cited_by_count":18,"area":null},{"id":"2211.14751","title":"Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning","created":"2022-11-27","cited_by_count":18,"area":null},{"id":"2303.10396","title":"Towards Diverse Binary Segmentation via A Simple yet General Gated Network","created":"2023-03-18","cited_by_count":17,"area":null},{"id":"2305.18476","title":"Explicit Visual Prompting for Universal Foreground Segmentations","created":"2023-05-29","cited_by_count":17,"area":null},{"id":"2108.03466","title":"Unsupervised Portrait Shadow Removal via Generative Priors","created":"2021-08-07","cited_by_count":16,"area":null},{"id":"2211.16675","title":"ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal","created":"2022-11-30","cited_by_count":16,"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":"2412.17630","title":"Detail-Preserving Latent Diffusion for Stable Shadow Removal","created":"2024-12-23","cited_by_count":13,"area":"diffusion"},{"id":"2206.08801","title":"Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training","created":"2022-06-17","cited_by_count":12,"area":null},{"id":"2411.14201","title":"Regional Attention for Shadow Removal","created":"2024-11-21","cited_by_count":12,"area":null},{"id":"2108.00150","title":"Deep Image-based Illumination Harmonization","created":"2021-07-31","cited_by_count":11,"area":null},{"id":"2205.04908","title":"Shadow-Aware Dynamic Convolution for Shadow Removal","created":"2022-05-10","cited_by_count":11,"area":null},{"id":"2308.08935","title":"SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection","created":"2023-08-17","cited_by_count":11,"area":null},{"id":"2410.07695","title":"Test-Time Intensity Consistency Adaptation for Shadow Detection","created":"2024-10-10","cited_by_count":11,"area":null},{"id":"2506.08964","title":"ORIDa: Object-centric Real-world Image Composition Dataset","created":"2025-06-10","cited_by_count":11,"area":null},{"id":"2403.10076","title":"Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks","created":"2024-03-15","cited_by_count":10,"area":null},{"id":"2407.16214","title":"Diff-Shadow: Global-guided Diffusion Model for Shadow Removal","created":"2024-07-23","cited_by_count":10,"area":"diffusion"},{"id":"2410.05525","title":"Generative Portrait Shadow Removal","created":"2024-10-07","cited_by_count":10,"area":"diffusion"},{"id":"2109.09609","title":"Fine-Context Shadow Detection using Shadow Removal","created":"2021-09-20","cited_by_count":9,"area":null},{"id":"2307.15318","title":"DocDeshadower: Frequency-Aware Transformer for Document Shadow Removal","created":"2023-07-28","cited_by_count":9,"area":null},{"id":"2403.18730","title":"Towards Image Ambient Lighting Normalization","created":"2024-03-27","cited_by_count":9,"area":null},{"id":"2404.08421","title":"Adapting the Segment Anything Model During Usage in Novel Situations","created":"2024-04-12","cited_by_count":9,"area":null},{"id":"2412.01240","title":"Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes","created":"2024-12-02","cited_by_count":9,"area":null},{"id":"2510.21114","title":"Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts","created":"2025-10-24","cited_by_count":9,"area":"moe"},{"id":"2207.01600","title":"CRFormer: A Cross-Region Transformer for Shadow Removal","created":"2022-07-04","cited_by_count":8,"area":null},{"id":"2309.01377","title":"Memory augment is All You Need for image restoration","created":"2023-09-04","cited_by_count":8,"area":null},{"id":"2312.12826","title":"JoReS-Diff: Joint Retinex and Semantic Priors in Diffusion Model for Low-light Image Enhancement","created":"2023-12-20","cited_by_count":8,"area":"diffusion"},{"id":"2106.04840","title":"Tracking by Joint Local and Global Search: A Target-aware Attention based Approach","created":"2021-06-09","cited_by_count":7,"area":null},{"id":"2206.10910","title":"SpA-Former: Transformer image shadow detection and removal via spatial attention","created":"2022-06-22","cited_by_count":7,"area":null},{"id":"2404.18433","title":"ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal","created":"2024-04-29","cited_by_count":7,"area":null},{"id":"2407.08865","title":"Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey","created":"2024-07-11","cited_by_count":7,"area":null},{"id":"2409.02108","title":"Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era","created":"2024-09-03","cited_by_count":7,"area":null},{"id":"2511.19425","title":"SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation","created":"2025-11-24","cited_by_count":7,"area":null},{"id":"2103.16183","title":"Repopulating Street Scenes","created":"2021-03-30","cited_by_count":6,"area":null},{"id":"2305.11513","title":"When SAM Meets Shadow Detection","created":"2023-05-19","cited_by_count":6,"area":null},{"id":"2306.06113","title":"SAM-helps-Shadow:When Segment Anything Model meet shadow removal","created":"2023-06-01","cited_by_count":6,"area":null},{"id":"2404.12103","title":"S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal","created":"2024-04-18","cited_by_count":6,"area":null},{"id":"2408.11785","title":"Timeline and Boundary Guided Diffusion Network for Video Shadow Detection","created":"2024-08-21","cited_by_count":6,"area":"diffusion"},{"id":"2504.10979","title":"Deep Learning in Concealed Dense Prediction","created":"2025-04-15","cited_by_count":6,"area":null},{"id":"2606.08906","title":"DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance","created":"2026-06-08","cited_by_count":6,"area":null},{"id":"2104.09457","title":"Few-Shot Model Adaptation for Customized Facial Landmark Detection, Segmentation, Stylization and Shadow Removal","created":"2021-04-19","cited_by_count":5,"area":null},{"id":"2107.14287","title":"Temporal Feature Warping for Video Shadow Detection","created":"2021-07-29","cited_by_count":5,"area":null},{"id":"2209.02174","title":"CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal","created":"2022-09-06","cited_by_count":5,"area":null},{"id":"2311.08891","title":"AdapterShadow: Adapting Segment Anything Model for Shadow Detection","created":"2023-11-15","cited_by_count":5,"area":null},{"id":"2408.01835","title":"TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks","created":"2024-08-03","cited_by_count":5,"area":null},{"id":"2409.06848","title":"Shadow Removal Refinement via Material-Consistent Shadow Edges","created":"2024-09-10","cited_by_count":5,"area":null},{"id":"2412.02635","title":"MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis","created":"2024-12-03","cited_by_count":5,"area":null},{"id":"2504.06920","title":"S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications","created":"2025-04-09","cited_by_count":5,"area":null},{"id":"2507.16472","title":"DenseSR: Image Shadow Removal as Dense Prediction","created":"2025-07-22","cited_by_count":5,"area":null},{"id":"2511.14183","title":"UniSER: A Foundation Model for Unified Soft Effects Removal","created":"2025-11-18","cited_by_count":5,"area":null},{"id":"2403.08142","title":"FieldNet: Efficient Real-Time Shadow Removal for Enhanced Vision in Field Robotics","created":"2024-03-13","cited_by_count":4,"area":null},{"id":"2408.03521","title":"SwinShadow: Shifted Window for Ambiguous Adjacent Shadow Detection","created":"2024-08-07","cited_by_count":4,"area":null},{"id":"2408.05936","title":"Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes","created":"2024-08-12","cited_by_count":4,"area":null},{"id":"2409.07041","title":"SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal","created":"2024-09-11","cited_by_count":4,"area":null},{"id":"2412.02545","title":"ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer","created":"2024-12-03","cited_by_count":4,"area":null},{"id":"2508.02168","title":"After the Party: Navigating the Mapping From Color to Ambient Lighting","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2601.17470","title":"PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors","created":"2026-01-24","cited_by_count":4,"area":null},{"id":"2111.13790","title":"Benchmarking Shadow Removal for Facial Landmark Detection and Beyond","created":"2021-11-27","cited_by_count":3,"area":null},{"id":"2204.04142","title":"A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing","created":"2022-04-08","cited_by_count":3,"area":null},{"id":"2301.03182","title":"Structure-Informed Shadow Removal Networks","created":"2023-01-09","cited_by_count":3,"area":null},{"id":"2303.09370","title":"Learning Physical-Spatio-Temporal Features for Video Shadow Removal","created":"2023-03-16","cited_by_count":3,"area":null},{"id":"2311.00455","title":"Progressive Recurrent Network for Shadow Removal","created":"2023-11-01","cited_by_count":3,"area":null},{"id":"2402.15919","title":"Learning to See Through Dazzle","created":"2024-02-24","cited_by_count":3,"area":null},{"id":"2407.01104","title":"Semantic-guided Adversarial Diffusion Model for Self-supervised Shadow Removal","created":"2024-07-01","cited_by_count":3,"area":"diffusion"},{"id":"2410.16953","title":"Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotations","created":"2024-10-22","cited_by_count":3,"area":null},{"id":"2412.05012","title":"SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency","created":"2024-12-06","cited_by_count":3,"area":null},{"id":"2506.23104","title":"DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation","created":"2025-06-29","cited_by_count":3,"area":null},{"id":"2507.20186","title":"SAMwave: Wavelet-Driven Feature Enrichment for Effective Adaptation of Segment Anything Model","created":"2025-07-27","cited_by_count":3,"area":null},{"id":"2508.06063","title":"Distribution-Specific Learning for Joint Salient and Camouflaged Object Detection","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2305.12036","title":"SIDAR: Synthetic Image Dataset for Alignment & Restoration","created":"2023-05-19","cited_by_count":2,"area":null},{"id":"2309.06670","title":"ShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal","created":"2023-09-13","cited_by_count":2,"area":null},{"id":"2309.11715","title":"Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal","created":"2023-09-21","cited_by_count":2,"area":"diffusion"}],"next_cursor":"100"}