{"total":55,"rows":[{"id":"2408.14180","title":"I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing","created":"2024-08-26","cited_by_count":63,"area":null},{"id":"2302.14677","title":"Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger","created":"2023-02-28","cited_by_count":40,"area":null},{"id":"2503.16930","title":"Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks","created":"2025-03-21","cited_by_count":37,"area":null},{"id":"2302.01650","title":"ShadowFormer: Global Context Helps Image Shadow Removal","created":"2023-02-03","cited_by_count":35,"area":null},{"id":"2503.08037","title":"ObjectMover: Generative Object Movement with Video Prior","created":"2025-03-11","cited_by_count":30,"area":null},{"id":"2409.15739","title":"Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint","created":"2024-09-24","cited_by_count":24,"area":null},{"id":"2501.00740","title":"RORem: Training a Robust Object Remover with Human-in-the-Loop","created":"2025-01-01","cited_by_count":23,"area":null},{"id":"2306.09349","title":"UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video","created":"2023-06-15","cited_by_count":22,"area":null},{"id":"2410.01719","title":"OmniSR: Shadow Removal under Direct and Indirect Lighting","created":"2024-10-02","cited_by_count":19,"area":null},{"id":"2212.10431","title":"QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity","created":"2022-12-20","cited_by_count":18,"area":null},{"id":"2302.12995","title":"Raw Image Reconstruction with Learned Compact Metadata","created":"2023-02-25","cited_by_count":18,"area":null},{"id":"2407.03757","title":"DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts","created":"2024-07-04","cited_by_count":14,"area":null},{"id":"2411.14201","title":"Regional Attention for Shadow Removal","created":"2024-11-21","cited_by_count":12,"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":"2403.18730","title":"Towards Image Ambient Lighting Normalization","created":"2024-03-27","cited_by_count":9,"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":"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":"2309.01627","title":"Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration","created":"2023-09-04","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":"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":"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":"2505.20967","title":"RF4D:Neural Radar Fields for Novel View Synthesis in Outdoor Dynamic Scenes","created":"2025-05-27","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":"2310.17910","title":"DocStormer: Revitalizing Multi-Degraded Colored Document Images to Pristine PDF","created":"2023-10-27","cited_by_count":3,"area":null},{"id":"2403.08933","title":"Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images","created":"2024-03-13","cited_by_count":3,"area":null},{"id":"2501.15043","title":"Prompt-Aware Controllable Shadow Removal","created":"2025-01-25","cited_by_count":2,"area":null},{"id":"2506.20367","title":"DreamAnywhere: Object-Centric Panoramic 3D Scene Generation","created":"2025-06-25","cited_by_count":2,"area":null},{"id":"2603.12579","title":"DINOLight: Robust Ambient Light Normalization with Self-supervised Visual Prior Integration","created":"2026-03-13","cited_by_count":2,"area":null},{"id":"2409.03745","title":"ArtiFade: Learning to Generate High-quality Subject from Blemished Images","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2504.00385","title":"Leveraging Contrast Information for Efficient Document Shadow Removal","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2506.15524","title":"NTIRE 2025 Image Shadow Removal Challenge Report","created":"2025-06-18","cited_by_count":1,"area":null},{"id":"2603.21611","title":"SARe: Structure-Aware Generative 3D Fragment Reassembly","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2604.08172","title":"On the Global Photometric Alignment for Low-Level Vision","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2408.03734","title":"Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal","created":"2024-08-07","cited_by_count":0,"area":null},{"id":"2503.07517","title":"FastInstShadow: A Simple Query-Based Model for Instance Shadow Detection","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2505.05504","title":"Image Restoration via Multi-domain Learning","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2507.21949","title":"Contrast-Prior Enhanced Duality for Mask-Free Shadow Removal","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2512.06174","title":"Embedding Physical Reasoning into Diffusion-Based Shadow Generation Under the Sun and Sky","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2512.06179","title":"Cast and Attached Shadow Detection via Iterative Light and Geometry Reasoning","created":"2025-12-05","cited_by_count":0,"area":null},{"id":"2512.08789","title":"MatteViT: High-Frequency-Aware Document Shadow Removal with Shadow Matte Guidance","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2603.08020","title":"VSDiffusion: Taming Ill-Posed Shadow Generation via Visibility-Constrained Diffusion","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.02785","title":"CANDLE: Illumination-Invariant Semantic Priors for Color Ambient Lighting Normalization","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2604.13383","title":"UniBlendNet: Unified Global, Multi-Scale, and Region-Adaptive Modeling for Ambient Lighting Normalization","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2604.15170","title":"OmniLight: One Model to Rule All Lighting Conditions","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2604.17208","title":"CDSA-Net:Collaborative Decoupling of Vascular Structure and Background for High-Fidelity Coronary Digital Subtraction Angiography","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2604.18032","title":"CFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2606.15570","title":"An Extensive Benchmark for Single-round and Multi-round Instruction-based Image Editing","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2609.01806","title":"Consistency as Regularization for Unsupervised Shadow Removal","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.38607","title":"After a Decade: Bringing Shadow Removal into the Real World with Agentic Training Data","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.01291","title":"ODDR: One-Step Deshadow Diffusion via Reward Guidance","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}