Papers Shadow Removal
“Shadow Removal” 태그가 달린 논문 137편 · 필터 해제
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 RemovalMatteViT: High-Frequency-Aware Document Shadow Removal with Shadow Matte Guidance
Document shadow removal is essential for enhancing the clarity of digitized documents. Preserving high-frequency details (e.g., text edges and lines) is critical in this process because shadows often obscure or distort f…
Shadow RemovalD2-Mamba: Dual-Scale Fusion and Dual-Path Scanning with SSMs for Shadow Removal
Shadow removal aims to restore images that are partially degraded by shadows, where the degradation is spatially localized and non-uniform. Unlike general restoration tasks that assume global degradation, shadow removal …
Shadow RemovalContrast-Prior Enhanced Duality for Mask-Free Shadow Removal
Existing shadow removal methods often rely on shadow masks, which are challenging to acquire in real-world scenarios. Exploring intrinsic image cues, such as local contrast information, presents a potential alternative f…
Shadow RemovalStructure-Guided Diffusion Models for High-Fidelity Portrait Shadow Removal
We present a diffusion-based portrait shadow removal approach that can robustly produce high-fidelity results. Unlike previous methods, we cast shadow removal as diffusion-based inpainting. To this end, we first train a …
Shadow RemovalImage Restoration via Multi-domain Learning
Due to adverse atmospheric and imaging conditions, natural images suffer from various degradation phenomena. Consequently, image restoration has emerged as a key solution and garnered substantial attention. Although rece…
Cloud RemovalDeblurringImage RestorationRaindrop Removal+2Retinex-guided Histogram Transformer for Mask-free Shadow Removal
While deep learning methods have achieved notable progress in shadow removal, many existing approaches rely on shadow masks that are difficult to obtain, limiting their generalization to real-world scenes. In this work, …
Shadow RemovalFASR-Net: Unsupervised Shadow Removal Leveraging Inherent Frequency Priors
Shadow removal is challenging due to the complex interaction of geometry, lighting, and environmental factors. Existing unsupervised methods often overlook shadow-specific priors, leading to incomplete shadow recovery. T…
Shadow RemovalLeveraging Contrast Information for Efficient Document Shadow Removal
Document shadows are a major obstacle in the digitization process. Due to the dense information in text and patterns covered by shadows, document shadow removal requires specialized methods. Existing document shadow remo…
Document Shadow RemovalShadow RemovalPrompt-Aware Controllable Shadow Removal
Shadow removal aims to restore the image content in shadowed regions. While deep learning-based methods have shown promising results, they still face key challenges: 1) uncontrolled removal of all shadows, or 2) controll…
Shadow RemovalTowards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer
Image shadow removal is a crucial task in computer vision. In real-world scenes, shadows alter image color and brightness, posing challenges for perception and texture recognition. Traditional and deep learning methods o…
Image Shadow RemovalShadow RemovalSoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal
Recent advancements in deep learning have yielded promising results for the image shadow removal task. However, most existing methods rely on binary pre-generated shadow masks. The binary nature of such masks could p…
Image Shadow RemovalShadow RemovalDetail-Preserving Latent Diffusion for Stable Shadow Removal
Achieving high-quality shadow removal with strong generalizability is challenging in scenes with complex global illumination. Due to the limited diversity in shadow removal datasets, current methods are prone to overfitt…
DecoderDiversityShadow RemovalControlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation
Large-scale generative models have achieved remarkable advancements in various visual tasks, yet their application to shadow removal in images remains challenging. These models often generate diverse, realistic details w…
Image ReconstructionImage Shadow RemovalShadow RemovalRegional Attention for Shadow Removal
Shadow, as a natural consequence of light interacting with objects, plays a crucial role in shaping the aesthetics of an image, which however also impairs the content visibility and overall visual quality. Recent shadow …
Shadow Removal