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 …

A Comparison of Selected Image Transformation Techniques for Malware Classification
Rishit Agrawal, Kunal Bhatnagar, Andrew Do, Ronnit Rana, Mark Stamp
https://arxiv.org/abs/2509.10838

A Comparison of Selected Image Transformation Techniques for Malware Classification
Recently, a considerable amount of malware research has focused on the use of powerful image-based machine learning techniques, which generally yield impressive results. However, before image-based techniques can be applied to malware, the samples must be converted to images, and there is no generally-accepted approach for doing so. The malware-to-image conversion strategies found in the literature often appear to be ad hoc, with little or no effort made to take into account properties of execu…

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…

Zum Abend noch einige der heute besonders häufig geteilten #News:
Warum Kinderfotos nicht ins Internet gehören
https://www.

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking
Zirui Zheng, Takashi Isobe, Tong Shen, Xu Jia, Jianbin Zhao, Xiaomin Li, Mengmeng Ge, Baolu Li, Qinghe Wang, Dong Li, Dong Zhou, Yunzhi Zhuge, Huchuan Lu, Emad Barsoum
https://arxiv.org/abs/2509.12046

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking
While autoregressive (AR) models have demonstrated remarkable success in image generation, extending them to layout-conditioned generation remains challenging due to the sparse nature of layout conditions and the risk of feature entanglement. We present Structured Masking for AR-based Layout-to-Image (SMARLI), a novel framework for layoutto-image generation that effectively integrates spatial layout constraints into AR-based image generation. To equip AR model with layout control, a specially d…

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…