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highlight removal

9 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28

Highlight removal refers to the process of eliminating or reducing the presence of specular highlights in an image. Specular highlights are bright spots or reflections that occur when light reflects off a shiny or reflective surface, such as glass, metal, or oily skin. These highlights can often obscure or distort the underlying details of the image, making it difficult to analyze or process.

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Image Restoration

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (15 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Dual-Hybrid Attention Network for Specular Highlight Removal

17 Jul 2024 1 repository listed

Specular highlight removal plays a pivotal role in multimedia applications, as it enhances the quality and interpretability of images and videos, ultimately improving the performance of downstream tasks such as…
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data

28 Nov 2023 1 repository listed

Once trained, SHMGAN is able to generate specular-free images from a single RGB image as input; without requiring any additional external labels.
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data

12 Sep 2023 1 repository listed

This paper aims to remove specular highlights from a single object-level image.
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning

27 Nov 2022 1 repository listed

To further enforce the reflectance layer to be independent of shadows and specularities in the second-stage refinement, we introduce an S-Aware network that distinguishes the reflectance image from the input image.
M2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenes

20 Jul 2022 1 repository listed

The framework consists of three main components, highlight feature extractor module, highlight coarse removal module, and highlight refine removal module.
Single-Image Specular Highlight Removal via Real-World Dataset Construction

27 Aug 2021 1 repository listed

Specular reflections pose great challenges on various multimedia and computer vision tasks, e.
Text-Aware Single Image Specular Highlight Removal

16 Aug 2021 1 repository listed

The core goal is to improve the accuracy of text detection and recognition by removing the highlight from text images.
Polarization Guided Specular Reflection Separation

22 Mar 2021 1 repository listed

Based on the analysis of polarization, we propose a polarization guided model to generate a polarization chromaticity image, which is able to reveal the geometrical profile of the input image in complex scenarios, such…
Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

1 Sep 2018 1 repository listed

We propose a sparse and low-rank reflection model for specular highlight detection and removal using a single input image.

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