Decrypt

Inside the Image AI Leap: How Google and ByteDance’s Latest Models Stack Up

A hands-on comparison between the two shows how the latest image models differ on price, speed, and creative control.
eLife

Serial Dependence Predicts Generalization in Perceptual Learning

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
The New York Times

Musk’s Chatbot Flooded X With Millions of Sexualized Images in Days, New Estimates Show

Over nine days, Elon Musk’s Grok chatbot generated and posted 4.4 million images, of which at least 41 percent were sexualized images of women. By Kate Conger Dylan Freedman and Stuart A. Thompson ...
IEEE

Mask-DiFuser: A Masked Diffusion Model for Unified Unsupervised Image Fusion

Abstract: The absence of ground truth (GT) in most fusion tasks poses significant challenges for model optimization, evaluation, and generalization. Existing fusion methods achieving complementary ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

Combining Contrastive Learning and Diffusion Model for Hyperspectral Image Classification

Abstract: In recent years, self-supervised learning has made significant strides in hyperspectral image classification (HSIC). However, different approaches come with distinct strengths and ...