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Mig Inc – Bad Dream
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Perfect for Grandma
https://gizmodo.com/best-buy-is-basically-giving-away-a-14-inch-hp-chromebook-for-nothing-now-almost-60-off-2000610324

Best Buy Is Basically Giving Away a 14-Inch HP Chromebook for Nothing, Now Almost 60% Off
The tech giant's just dropped a huge sale on these highly rated Chromebooks that normally sell for $329.

Task demands shape network interactions during reading and visual form processing https://direct.mit.edu/imag/article/doi/10.1162/IMAG.a.13/130699/Task-demands-shape-network-interactions-during (fusiform gyrus) &…

This https://arxiv.org/abs/2506.01921 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

MedEBench: Revisiting Text-instructed Image Editing
Text-guided image editing has seen rapid progress in natural image domains, but its adaptation to medical imaging remains limited and lacks standardized evaluation. Clinically, such editing holds promise for simulating surgical outcomes, creating personalized teaching materials, and enhancing patient communication. To bridge this gap, we introduce \textbf{MedEBench}, a comprehensive benchmark for evaluating text-guided medical image editing. It consists of 1,182 clinically sourced image-prompt …

New VLT image shows supernova remnant 0509-67.5, the expanding remains of a star that exploded hundreds of years ago in a double detonation-- the first photographic evidence that stars can die with two blasts https://phys.org/news/2025-07-detonation-image-star-de…

Double detonation: New image shows remains of star destroyed by pair of explosions
For the first time, astronomers have obtained visual evidence that a star met its end by detonating twice. By studying the centuries-old remains of supernova SNR 0509-67.5 with the European Southern Observatory's Very Large Telescope (ESO's VLT), they have found patterns that confirm its star suffered a pair of explosive blasts.

This https://arxiv.org/abs/2501.13134 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
Image restoration aims to recover content from inputs degraded by various factors, such as adverse weather, blur, and noise. Perceptual Image Restoration (PIR) methods improve visual quality but often do not support downstream tasks effectively. On the other hand, Task-oriented Image Restoration (TIR) methods focus on enhancing image utility for high-level vision tasks, sometimes compromising visual quality. This paper introduces UniRestore, a unified image restoration model that bridges the ga…

2025 NFL Draft first-round pick contract tracker: Patriots sign Will Campbell; Giants' Abdul Carter inks deal

https://www.cbssports.com/nfl…

UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Bin Lin, Zongjian Li, Xinhua Cheng, Yuwei Niu, Yang Ye, Xianyi He, Shenghai Yuan, Wangbo Yu, Shaodong Wang, Yunyang Ge, Yatian Pang, Li Yuan
https://arxiv.org/abs/2506.03147

UniWorld: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
Although existing unified models deliver strong performance on vision-language understanding and text-to-image generation, their models are limited in exploring image perception and manipulation tasks, which are urgently desired by users for wide applications. Recently, OpenAI released their powerful GPT-4o-Image model for comprehensive image perception and manipulation, achieving expressive capability and attracting community interests. By observing the performance of GPT-4o-Image in our caref…

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
Yuxuan Wang, Tianwei Cao, Huayu Zhang, Zhongjiang He, Kongming Liang, Zhanyu Ma
https://arxiv.org/abs/2507.02714

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
Image generation has achieved remarkable progress with the development of large-scale text-to-image models, especially diffusion-based models. However, generating human images with plausible details, such as faces or hands, remains challenging due to insufficient supervision of local regions during training. To address this issue, we propose FairHuman, a multi-objective fine-tuning approach designed to enhance both global and local generation quality fairly. Specifically, we first construct thr…

This https://arxiv.org/abs/2505.24380 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification
Fine-grained bird image classification (FBIC) is not only of great significance for ecological monitoring and species identification, but also holds broad research value in the fields of image recognition and fine-grained visual modeling. Compared with general image classification tasks, FBIC poses more formidable challenges: 1) the differences in species size and imaging distance result in the varying sizes of birds presented in the images; 2) complex natural habitats often introduce strong ba…