Tootfinder

Qwen-Image-Edit: Image Editing with Higher Quality and Efficiency
https://qwenlm.github.io/blog/qwen-image-edit/?utm_source=www.the…

Aww that's sweet https://landsat.gsfc.nasa.gov/apps/YourNameInLandsat-main/?img1=m_1&img2=a_1&img3=x_0&img4=h_0&img5=e_0&i…

Data-Driven Deepfake Image Detection Method -- The 2024 Global Deepfake Image Detection Challenge
Xiaoya Zhu, Yibing Nan, Shiguo Lian
https://arxiv.org/abs/2508.11464 https://…

Data-Driven Deepfake Image Detection Method -- The 2024 Global Deepfake Image Detection Challenge
With the rapid development of technology in the field of AI, deepfake technology has emerged as a double-edged sword. It has not only created a large amount of AI-generated content but also posed unprecedented challenges to digital security. The task of the competition is to determine whether a face image is a Deepfake image and output its probability score of being a Deepfake image. In the image track competition, our approach is based on the Swin Transformer V2-B classification network. And o…

🪞 Beyond the field: New research highlights how name, image and likeness is reshaping college athlete identity
https://phys.org/news/2025-07-field-highlights-image-reshaping-college.html

Beyond the field: New research highlights how name, image and likeness is reshaping college athlete identity
In an era of name, image and likeness, or NIL, many college athletes are thinking differently about who they are—seeing themselves not just as competitors or students, but also as influencers with distinct voices and causes, according to a new study from the University of Florida.

I don’t understand why we must spend billions of dollars and waste so much water for AI.
I just created an “AI-generated image” from the original using a few dabs of the retouch tool in the Photos app.
Might have taken a sip of water afterwards but that was it.
(Is there a word/phrase for taking a regular image and making it look like it was AI generated? There should be.)

TERF Inc.
https://web.archive.org/web/20190727183834/http://terf.com/

Netflix überträgt in Frankreich lineares Fernsehen
Gemeinsam mit der Mediengesellschaft TF1 will Netflix in Frankreich bald lineares Fernsehen im Stream anbieten. Die Inhalte kommen ins normale Abo.
https://…

Cowboys ink 2 veterans to deals following individual workouts https://insidethestar.com/cowboys-ink-2-veterans-to-deals-following-individual-workouts

7Bench: a Comprehensive Benchmark for Layout-guided Text-to-image Models
Elena Izzo, Luca Parolari, Davide Vezzaro, Lamberto Ballan
https://arxiv.org/abs/2508.12919 https://

7Bench: a Comprehensive Benchmark for Layout-guided Text-to-image Models
Layout-guided text-to-image models offer greater control over the generation process by explicitly conditioning image synthesis on the spatial arrangement of elements. As a result, their adoption has increased in many computer vision applications, ranging from content creation to synthetic data generation. A critical challenge is achieving precise alignment between the image, textual prompt, and layout, ensuring semantic fidelity and spatial accuracy. Although recent benchmarks assess text alig…

DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification
Matt Poyser, Toby P. Breckon
https://arxiv.org/abs/2506.14667

DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification
In order to address the scalability challenge within Neural Architecture Search (NAS), we speed up NAS training via dynamic hard example mining within a curriculum learning framework. By utilizing an autoencoder that enforces an image similarity embedding in latent space, we construct an efficient kd-tree structure to order images by furthest neighbour dissimilarity in a low-dimensional embedding. From a given query image from our subsample dataset, we can identify the most dissimilar image wit…