GitHub

[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers

This is a PyTorch implementation of the paper MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers published in IEEE TIP 2024. Arxiv link. Notice: This repo is still working ...
IEEE

An Enhanced Global Feature-Guided Network Based on Multiple Filtering Noise Reduction for Remote Sensing Image Compression

Abstract: Remote sensing images obtained at high altitudes often contain complete object or scene information, which makes their global visual features richer compared to natural images. In order to ...
IEEE

Design of a Multiple Pseudorandom Number Generator Combined Chaotic System With RNS and Its Application to Secure Image Processing

Abstract: This paper presents a novel approach to designing a multiple pseudorandom number generator (MPNG) through the integration of several key techniques. Specifically, the method leverages the ...
TechCrunch

X restricts Grok’s image generation to paying subscribers only after drawing the world’s ire

Elon Musk’s AI company has restricted Grok’s controversial AI image-generation feature to only paying subscribers on X, after the tool invited heavy criticism from across the world for letting users ...
CNN

After ‘digital undressing’ criticism, Elon Musk’s Grok limits some image generation to paid subscribers

Elon Musk’s Grok chatbot has limited some of its Imagine image generation features to paid X subscribers, days after international uproar over the AI tool responded to user requests by “digitally ...
GitHub

MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models

After downloading the WSIs, please use the CLAM repository to pre-process the WSIs and extract the features. The features should be put into the ./data directory. Then, use the h5toPyG.ipynb notebook ...