Devignet: High-resolution vignetting removal via a dual aggregated fusion transformer with adaptive channel expansion
Vignetting commonly occurs as a degradation in images resulting from factors such as lens
design, improper lens hood usage, and limitations in camera sensors. This degradation …
design, improper lens hood usage, and limitations in camera sensors. This degradation …
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …
document images significantly influences the overall performance. Prevailing methods …
Towards Image Ambient Lighting Normalization
Lighting normalization is a crucial but underexplored restoration task with broad
applications. However, existing works often simplify this task within the context of shadow …
applications. However, existing works often simplify this task within the context of shadow …
QEAN: quaternion-enhanced attention network for visual dance generation
Z Zhou, Y Huo, G Huang, A Zeng, X Chen, L Huang… - The Visual …, 2024 - Springer
The study of music-generated dance is a novel and challenging image generation task. It
aims to input a piece of music and seed motions, then generate natural dance movements …
aims to input a piece of music and seed motions, then generate natural dance movements …
Uwformer: Underwater image enhancement via a semi-supervised multi-scale transformer
Underwater images often exhibit poor quality, imbalanced coloration, and low contrast due
to the complex and intricate interaction of light, water, and objects. Despite the significant …
to the complex and intricate interaction of light, water, and objects. Despite the significant …
Wavenhancer: Unifying wavelet and transformer for image enhancement
Image enhancement is a widely used technique in digital image processing that aims to
improve image aesthetics and visual quality. However, traditional methods of enhancement …
improve image aesthetics and visual quality. However, traditional methods of enhancement …
Synthetic Document Images with Diverse Shadows for Deep Shadow Removal Networks
Y Matsuo, Y Aoki - Sensors, 2024 - mdpi.com
Shadow removal for document images is an essential task for digitized document
applications. Recent shadow removal models have been trained on pairs of shadow images …
applications. Recent shadow removal models have been trained on pairs of shadow images …
MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the
captured photographs, affecting the photographs' visual quality. The main challenge in flare …
captured photographs, affecting the photographs' visual quality. The main challenge in flare …
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Y Dong, X Chen, Y Shen, MKP Ng, T Qian… - arXiv preprint arXiv …, 2024 - arxiv.org
Emotion recognition based on Electroencephalography (EEG) has gained significant
attention and diversified development in fields such as neural signal processing and …
attention and diversified development in fields such as neural signal processing and …
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation
Y Chen, G Huang, K Huang, Z Lin, G Zhong… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate segmentation of lesion regions is crucial for clinical diagnosis and treatment across
various diseases. While deep convolutional networks have achieved satisfactory results in …
various diseases. While deep convolutional networks have achieved satisfactory results in …