Shadow Removal
6개 벤치마크 · 논문 137편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Shadow Removal via Shadow Image Decomposition
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal
Papers
Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case
Commercial vision-language models are reshaping computer vision, with visual priors broad enough to rival task-specific systems. This raises a natural question: do they reduce the need for classic, physics-informed low-l…
Shadow RemovalImage EditingFreeShadow: Training-Free Shadow Removal via Illumination Transfer and Selective Content Preservation in Diffusion Models
Existing supervised and unsupervised shadow removal methods often suffer from limited generalization due to the insufficient diversity of available training datasets, while zero-shot methods tend to produce artifacts and…
Shadow RemovalCFSR: Geometry-Conditioned Shadow Removal via Physical Disentanglement
Traditional shadow removal networks often treat image restoration as an unconstrained mapping, lacking the physical interpretability required to balance localized texture recovery with global illumination consistency. To…
Image RestorationShadow RemovalOmniLight: One Model to Rule All Lighting Conditions
Adverse lighting conditions, such as cast shadows and irregular illumination, pose significant challenges to computer vision systems by degrading visibility and color fidelity. Consequently, effective shadow removal and …
Image RestorationShadow RemovalTask-Guided Prompting for Unified Remote Sensing Image Restoration
Remote sensing image restoration (RSIR) is essential for recovering high-fidelity imagery from degraded observations, enabling accurate downstream analysis. However, most existing methods focus on single degradation type…
Image RestorationShadow RemovalCloud RemovalBeyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal
Facial shadows often degrade image quality and the performance of vision algorithms. Existing methods struggle to remove shadows while preserving texture, especially under complex lighting conditions, and they lack real-…
Shadow Removal