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heise | Qwen-Image-Edit: Bilder mit KI bearbeiten – ohne Google und Beschränkungen
Qwen-Image-Edit bearbeitet Bilder lokal und kostenlos. Wir zeigen, wie Sie mit der KI Objekte austauschen, Stile verändern oder Personen kombinieren.

Mass Graven Image – Crime Meridian
#ambient

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda
https://arxiv.org/abs/2508.00766 https://…

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Image-to-image translation has emerged as a powerful technique in medical imaging, enabling tasks such as image denoising and cross-modality conversion. However, it suffers from limitations in handling out-of-distribution samples without causing performance degradation. To address this limitation, we propose a novel Test-Time Adaptation (TTA) framework that dynamically adjusts the translation process based on the characteristics of each test sample. Our method introduces a Reconstruction Module…

Bericht: Apple wollte ins Cloud-Geschäft einsteigen
Um sein Servicegeschäft auszubauen, wollte Apple angeblich Developern Serverplatz vermieten – von Apple-Silicon-Rechnern aus. Doch aus dem Projekt wurde nichts.

När en israelisk attack dödar många civila, sjukvårdspersonal eller hjälparbetare blir beskedet ofta att en militär internutredning ska göras.
Men 88 procent har inte lett till någon känd åtgärd, visar en ny rapport. #Gaza ht…

Inga fel hittade i nio av tio av Israels internutredningar sedan oktober 2023
Inga fel hittade i nio av tio av Israels internutredningar sedan i oktober 2023.

Japan: Regulierer nimmt App Store ins Visier – wie in Europa
Die japanische Freihandelsbehörde untersucht Apple seit Jahren. Nun kommt sie zu dem Schluss, dass der Konzern fremde Marktplätze und Payments erlauben muss.

Die Arbeitswelt hat sich nachhaltig verändert! 🏠💻 Neue Zahlen des ifo-Instituts zeigen: Homeoffice ist gekommen, um zu bleiben. Im August arbeiteten 24,4 Prozent aller Beschäftigten in Deutschland zumindest teilweise von zu Hause aus.
Zum Artikel: https://heis…

Aesthetic Image Captioning with Saliency Enhanced MLLMs
Yilin Tao, Jiashui Huang, Huaze Xu, Ling Shao
https://arxiv.org/abs/2509.04378 https://arxiv.org/pd…

Aesthetic Image Captioning with Saliency Enhanced MLLMs
Aesthetic Image Captioning (AIC) aims to generate textual descriptions of image aesthetics, becoming a key research direction in the field of computational aesthetics. In recent years, pretrained Multimodal Large Language Models (MLLMs) have advanced rapidly, leading to a significant increase in image aesthetics research that integrates both visual and textual modalities. However, most existing studies on image aesthetics primarily focus on predicting aesthetic ratings and have shown limited ap…

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models
Jiale Li, Mingrui Wu, Zixiang Jin, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji
https://arxiv.org/abs/2508.00726

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models
Despite growing interest in hallucination in Multimodal Large Language Models, existing studies primarily focus on single-image settings, leaving hallucination in multi-image scenarios largely unexplored. To address this gap, we conduct the first systematic study of hallucinations in multi-image MLLMs and propose MIHBench, a benchmark specifically tailored for evaluating object-related hallucinations across multiple images. MIHBench comprises three core tasks: Multi-Image Object Existence Hallu…

Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
Junying Meng, Gangxuan Zhou, Jun Liu, Weihong Guo
https://arxiv.org/abs/2509.04273

Dual-Scale Volume Priors with Wasserstein-Based Consistency for Semi-Supervised Medical Image Segmentation
Despite signi cant progress in semi-supervised medical image segmentation, most existing segmentation networks overlook e ective methodological guidance for feature extraction and important prior information from datasets. In this paper, we develop a semi-supervised medical image segmentation framework that e ectively integrates spatial regularization methods and volume priors. Speci cally, our approach integrates a strong explicit volume prior at the image scale and Threshold Dynamics spatia…