paper-with-me

Papers Shadow Detection And Removal

“Shadow Detection And Removal” 태그가 달린 논문 11편 · 필터 해제

MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis

2024-12-03 · CVPR 2025 1 · Tianyu Wang, Jianming Zhang, Haitian Zheng, Zhihong Ding 외

Shadows are often under-considered or even ignored in image editing applications, limiting the realism of the edited results. In this paper, we introduce MetaShadow, a three-in-one versatile framework that enables detect…

ObjectShadow DetectionShadow Detection And Removal

NTIRE 2023 Image Shadow Removal Challenge Technical Report: Team IIM_TTI

2024-03-13 · Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki 외

In this paper, we analyze and discuss ShadowFormer in preparation for the NTIRE2023 Shadow Removal Challenge [1], implementing five key improvements: image alignment, the introduction of a perceptual quality loss functio…

Data AugmentationImage Shadow RemovalShadow DetectionShadow Detection And Removal+1

SAM-helps-Shadow:When Segment Anything Model meet shadow removal

2023-06-01 · Xiaofeng Zhang, Chaochen Gu, Shanying Zhu

The challenges surrounding the application of image shadow removal to real-world images and not just constrained datasets like ISTD/SRD have highlighted an urgent need for zero-shot learning in this field. In this study,…

Image Shadow RemovalShadow DetectionShadow Detection And RemovalShadow Removal+1

SpA-Former: Transformer image shadow detection and removal via spatial attention

2022-06-22 · Xiao Feng Zhang, Chao Chen Gu, Shan Ying Zhu

In this paper, we propose an end-to-end SpA-Former to recover a shadow-free image from a single shaded image. Unlike traditional methods that require two steps for shadow detection and then shadow removal, the SpA-Former…

Shadow DetectionShadow Detection And RemovalShadow RemovalSingle Particle Analysis

Fine-Context Shadow Detection using Shadow Removal

2021-09-20 · Jeya Maria Jose Valanarasu, Vishal M. Patel

Current shadow detection methods perform poorly when detecting shadow regions that are small, unclear or have blurry edges. In this work, we attempt to address this problem on two fronts. First, we propose a Fine Context…

Shadow DetectionShadow Detection And RemovalShadow Removal

Learning from Synthetic Shadows for Shadow Detection and Removal

2021-01-05 · Naoto Inoue, Toshihiko Yamasaki

Shadow removal is an essential task in computer vision and computer graphics. Recent shadow removal approaches all train convolutional neural networks (CNN) on real paired shadow/shadow-free or shadow/shadow-free/mask im…

DiversityShadow DetectionShadow Detection And RemovalShadow Removal

Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images

2020-12-04 · Sensors 2020 12 · Bingshu Wang, C L Philip Chen

Shadow detection and removal is an important task for digitized document applications. It is hard for many methods to distinguish shadow from printed text due to the high darkness similarity. In this paper, we propose a …

Document Shadow RemovalShadow DetectionShadow Detection And RemovalShadow Removal

ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal

2019-08-04 · ICCV 2019 10 · Bin Ding, Chengjiang Long, Ling Zhang, Chunxia Xiao

In this paper we propose an attentive recurrent generative adversarial network (ARGAN) to detect and remove shadows in an image. The generator consists of multiple progressive steps. At each step a shadow attention detec…

Generative Adversarial NetworkShadow DetectionShadow Detection And RemovalShadow Removal

Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?

2018-11-15 · Oleksii Sidorov

Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image. Non-uniform illumination and shadows distort colors of…

Color ConstancyGenerative Adversarial NetworkShadow DetectionShadow Detection And Removal+1

A Reflectance Based Method For Shadow Detection and Removal

2018-07-11 · Sri Kalyan Yarlagadda, Fengqing Zhu

Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing. We propose a simple yet effective approach based on reflectance to detect shadows from single image. An i…

Detecting ShadowsScene UnderstandingShadow DetectionShadow Detection And Removal

Direction-aware Spatial Context Features for Shadow Detection and Removal

2018-05-12 · Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin 외

Shadow detection and shadow removal are fundamental and challenging tasks, requiring an understanding of the global image semantics. This paper presents a novel deep neural network design for shadow detection and removal…

Shadow DetectionShadow Detection And RemovalShadow Removal
1–11 / 11