Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...

Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans ...

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Designing surfaces that precisely control how light behaves at the nanoscale is tricky. Optical Fourier surfaces, which are ...

President Donald Trump posted 11 times on Truth Social late Friday night, publishing a rapid sequence of messages between 11:03 p.m. and 11:45 p.m. that included AI-generated images, political attacks ...

FRAM [CVPR'26] is a diffusion-based facial makeup transfer model with regional controllability. It can perform global makeup transfer and region-specific makeup transfer. A data synthesis pipeline ...

Abstract: Deep learning has shown great potential in assisting medical experts in diagnosing cerebral infarction through electroencephalogram (EEG) analysis. Classifying EEG abnormality levels is a ...

Abstract: Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hyperspectral image classification (HSIC). Although most methodologies extend features in the ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

This repository is the official PyTorch implementation of the ICCV 2025 (Highlight) paper: Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic ...