Tootfinder

Apple unveils a 14-inch MacBook Pro with an M5 chip, up to 3.5x more performance for AI workflows, and faster storage, for the same $1,599 , shipping October 22 (Apple)
https://www.apple.com/newsroom/2025/10/apple-unveils-new-14-inch-macbo…

Apple unveils new 14‑inch MacBook Pro powered by the M5 chip, delivering the next big leap in AI for the Mac
Apple today unveiled a new 14-inch MacBook Pro, featuring the incredibly powerful M5 chip.

Warum Kinderfotos nicht ins Internet gehören
Unzensierte Babybilder, KI-Bearbeitung und Erwachsene, die Nähe zu Kindern suchen: Warum Experten fordern, Aufnahmen von Kindern im Netz strenger zu schützen.
https://www.

Ordinality of Visible-Thermal Image Intensities for Intrinsic Image Decomposition
Zeqing Leo Yuan, Mani Ramanagopal, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
https://arxiv.org/abs/2509.10388 …

Ordinality of Visible-Thermal Image Intensities for Intrinsic Image Decomposition
Decomposing an image into its intrinsic photometric factors--shading and reflectance--is a long-standing challenge due to the lack of extensive ground-truth data for real-world scenes. Recent methods rely on synthetic data or sparse annotations for limited indoor and even fewer outdoor scenes. We introduce a novel training-free approach for intrinsic image decomposition using only a pair of visible and thermal images. We leverage the principle that light not reflected from an opaque surface is …

MAI-Image-1: Microsofts erster eigener Bildgenerator
Der Bildgenerator MAI-Image-1 von Microsoft hat seinen ersten Auftritt in der LMArena gemacht.
https://www.heise.de/news/MAI-Image-1-Mi…

Microsoft unveils MAI-Image-1, its first text-to-image AI model developed in house, and says it excels at photorealistic imagery, like lighting and landscapes (Andrew J. Hawkins/The Verge)
https://www.theverge.com/news/798923/microsoft-ai-image-generator-in-house…

Microsoft AI announces first image generator created in-house
Microsoft AI announced a new text-to-image generator developed in-house.

Efficient Learned Image Compression Through Knowledge Distillation
Fabien Allemand, Attilio Fiandrotti, Sumanta Chaudhuri, Alaa Eddine Mazouz
https://arxiv.org/abs/2509.10366 ht…

Efficient Learned Image Compression Through Knowledge Distillation
Learned image compression sits at the intersection of machine learning and image processing. With advances in deep learning, neural network-based compression methods have emerged. In this process, an encoder maps the image to a low-dimensional latent space, which is then quantized, entropy-coded into a binary bitstream, and transmitted to the receiver. At the receiver end, the bitstream is entropy-decoded, and a decoder reconstructs an approximation of the original image. Recent research sugges…

Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Matteo Trippodo, Federico Becattini, Lorenzo Seidenari
https://arxiv.org/abs/2509.10359 https://

Immunizing Images from Text to Image Editing via Adversarial Cross-Attention
Recent advances in text-based image editing have enabled fine-grained manipulation of visual content guided by natural language. However, such methods are susceptible to adversarial attacks. In this work, we propose a novel attack that targets the visual component of editing methods. We introduce Attention Attack, which disrupts the cross-attention between a textual prompt and the visual representation of the image by using an automatically generated caption of the source image as a proxy for t…

Apple updates the iPad Pro with an M5 chip, its new C1X cellular modem, and N1 chip, for $999 for the 11-inch and $1,299 for the 13-inch, shipping October 22 (David Pierce/The Verge)
https://www.theverge.com/news/799352/apple-ipad-pro-m5-price-release-date

Apple’s iPad Pro now has an M5 chip and some nice internal upgrades
Last year’s Pro shipped with new accessories, a new deisgn, and a new screen. The 2025 iPad Pro is mostly an internal upgrade, including the new M5 processor.

A Lightweight Ensemble-Based Face Image Quality Assessment Method with Correlation-Aware Loss
MohammadAli Hamidi, Hadi Amirpour, Luigi Atzori, Christian Timmerer
https://arxiv.org/abs/2509.10114

A Lightweight Ensemble-Based Face Image Quality Assessment Method with Correlation-Aware Loss
Face image quality assessment (FIQA) plays a critical role in face recognition and verification systems, especially in uncontrolled, real-world environments. Although several methods have been proposed, general-purpose no-reference image quality assessment techniques often fail to capture face-specific degradations. Meanwhile, state-of-the-art FIQA models tend to be computationally intensive, limiting their practical applicability. We propose a lightweight and efficient method for FIQA, designe…

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
Tao Han, Wanghan Xu, Junchao Gong, Xiaoyu Yue, Song Guo, Luping Zhou, Lei Bai
https://arxiv.org/abs/2509.10441

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
Arbitrary resolution image generation provides a consistent visual experience across devices, having extensive applications for producers and consumers. Current diffusion models increase computational demand quadratically with resolution, causing 4K image generation delays over 100 seconds. To solve this, we explore the second generation upon the latent diffusion models, where the fixed latent generated by diffusion models is regarded as the content representation and we propose to decode arbit…