Tootfinder

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

⚡ What Tax Credit? Hyundai Slashes Ioniq 5 EV Price by Nearly $10,000
https://www.thedrive.com/news/what-tax-credit-hyundai-slashes-ioniq-5-ev-price-by-nearly-10000

What Tax Credit? Hyundai Slashes Ioniq 5 EV Price by Nearly $10,000
Ioniq 5 sales surged as buyers looked to take advantage of the now-dead tax credit. This is Hyundai's way of extending that rally.

Fine-grained Image Quality Assessment for Perceptual Image Restoration
Xiangfei Sheng, Xiaofeng Pan, Zhichao Yang, Pengfei Chen, Leida Li
https://arxiv.org/abs/2508.14475 https:…

Fine-grained Image Quality Assessment for Perceptual Image Restoration
Recent years have witnessed remarkable achievements in perceptual image restoration (IR), creating an urgent demand for accurate image quality assessment (IQA), which is essential for both performance comparison and algorithm optimization. Unfortunately, the existing IQA metrics exhibit inherent weakness for IR task, particularly when distinguishing fine-grained quality differences among restored images. To address this dilemma, we contribute the first-of-its-kind fine-grained image quality ass…

Visual Autoregressive Modeling for Instruction-Guided Image Editing
Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei
https://arxiv.org/abs/2508.15772

Visual Autoregressive Modeling for Instruction-Guided Image Editing
Recent advances in diffusion models have brought remarkable visual fidelity to instruction-guided image editing. However, their global denoising process inherently entangles the edited region with the entire image context, leading to unintended spurious modifications and compromised adherence to editing instructions. In contrast, autoregressive models offer a distinct paradigm by formulating image synthesis as a sequential process over discrete visual tokens. Their causal and compositional mech…

Google Assistant zieht aus: Gemini kommt ins Smart-Home
Google läutet das Ende des Google Assistant im Smart-Home ein. Ab Oktober soll "Gemini for Home" auf Nest-Geräten landen.
https://www.

Alibaba releases Qwen-Image-Edit, the image editing version of Qwen-Image, supporting modifications of Chinese and English text while preserving font and style (Carl Franzen/VentureBeat)
https://venturebeat.com/ai/qwen-image-

Ärger um Nexperia - Neue Chipkrise könnte Autowerke stoppen
Lieferprobleme beim Chiphersteller Nexperia könnten Produktion deutscher Autobauer ins Stocken bringen, Branchenverband warnt vor möglichen Produktionsstopps.

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
Zongming Li, Lianghui Zhu, Haocheng Shen, Longjin Ran, Wenyu Liu, Xinggang Wang
https://arxiv.org/abs/2508.14814

TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
Most existing illumination-editing approaches fail to simultaneously provide customized control of light effects and preserve content integrity. This makes them less effective for practical lighting stylization requirements, especially in the challenging task of transferring complex light effects from a reference image to a user-specified target image. To address this problem, we propose TransLight, a novel framework that enables high-fidelity and high-freedom transfer of light effects. Extract…

"Silent Hill f" angespielt: Das Horror-Comeback des Jahres
Mit "Silent Hill f" wagt Konami einen Neustart in Japan und trifft mit einer persönlichen Reise durch eine zerbrechliche Teenager-Seele genau ins Schwarze.

Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Mengyu Wang, Zhenyu Liu, Kun Li, Yu Wang, Yuwei Wang, Yanyan Wei, Fei Wang
https://arxiv.org/abs/2508.15505

Task-Generalized Adaptive Cross-Domain Learning for Multimodal Image Fusion
Multimodal Image Fusion (MMIF) aims to integrate complementary information from different imaging modalities to overcome the limitations of individual sensors. It enhances image quality and facilitates downstream applications such as remote sensing, medical diagnostics, and robotics. Despite significant advancements, current MMIF methods still face challenges such as modality misalignment, high-frequency detail destruction, and task-specific limitations. To address these challenges, we propose …