Tootfinder

Italiens Staatsbahn erwägt Einstieg ins Fernverkehrsgeschäft
Die italienische Staatsbahn denkt über einen Einstieg ins deutsche Fernverkehrsgeschäft nach – und würde dort der Deutschen Bahn Konkurrenz machen.

In my latest @… blog post, I've covered how to refresh the image cache in #Sylius after moving files to a different server.
Full read here:

Refresh Sylius Image Cache | bitExpert
Learn how to refresh the image cache in Sylius after transferring images between instances, ensuring proper frontend display. Use the liip:imagine:cache:resolve command to generate the image cache.

People acquires Feedfeed, a food publisher and creator network with ~1,000 influencer partners, its first acquisition since the 2021 Dotdash/Meredith merger (Sara Fischer/Axios)
https://www.axios.com/2025/10/01/people-inc-acquires-feedfeed

People Inc. acquires Feedfeed
The deal will increase People Inc.'s exposure to the vast world of creator partnerships.

Heißt das Koala-Baby schon Mirko?
https://www.l-iz.de/kultur/lebensart/2025/10/leipzig-ist-total-verliebt-knuddel-koala-klettert-ins-leben-637987

Leipzig ist total verliebt: Knuddel-Koala klettert ins Leben! · Leipziger Zeitung
Große Freude über das kleine Kuschelwunder im Leipziger Zoo! Seit zwei Wochen blinzelte ab und zu ein neugieriges Näschen aus dem Jungtierbeutel von

Robert Reich here.
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"The Last Class" film.
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Help us keep up the fight — Inequality Media Civic Action
It is no exaggeration to say that this is the most dangerous administration in a lifetime. We're here to push back and empower the resistance.

IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
Jiayi Guo, Chuanhao Yan, Xingqian Xu, Yulin Wang, Kai Wang, Gao Huang, Humphrey Shi
https://arxiv.org/abs/2509.26231

IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
Ensuring precise multimodal alignment between diffusion-generated images and input prompts has been a long-standing challenge. Earlier works finetune diffusion weight using high-quality preference data, which tends to be limited and difficult to scale up. Recent editing-based methods further refine local regions of generated images but may compromise overall image quality. In this work, we propose Implicit Multimodal Guidance (IMG), a novel re-generation-based multimodal alignment framework tha…

China: Europäische Firmen leiden unter Exportkontrollen und blicken ins Ausland
Der Handelsstreit zwischen China und den USA trifft auch europäische Firmen: Die neuen Exportkontrollen sorgen für Verzögerungen, zeigt eine Umfrage.

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Keming Wu, Sicong Jiang, Max Ku, Ping Nie, Minghao Liu, Wenhu Chen
https://arxiv.org/abs/2509.26346

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing
Recently, we have witnessed great progress in image editing with natural language instructions. Several closed-source models like GPT-Image-1, Seedream, and Google-Nano-Banana have shown highly promising progress. However, the open-source models are still lagging. The main bottleneck is the lack of a reliable reward model to scale up high-quality synthetic training data. To address this critical bottleneck, we built \mname, trained with our new large-scale human preference dataset, meticulously…

SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval
Ren-Di Wu, Yu-Yen Lin, Huei-Fang Yang
https://arxiv.org/abs/2509.26330

SQUARE: Semantic Query-Augmented Fusion and Efficient Batch Reranking for Training-free Zero-Shot Composed Image Retrieval
Composed Image Retrieval (CIR) aims to retrieve target images that preserve the visual content of a reference image while incorporating user-specified textual modifications. Training-free zero-shot CIR (ZS-CIR) approaches, which require no task-specific training or labeled data, are highly desirable, yet accurately capturing user intent remains challenging. In this paper, we present SQUARE, a novel two-stage training-free framework that leverages Multimodal Large Language Models (MLLMs) to enha…

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
Harold Haodong Chen, Xianfeng Wu, Wen-Jie Shu, Rongjin Guo, Disen Lan, Harry Yang, Ying-Cong Chen
https://arxiv.org/abs/2509.26376

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
Test-time scaling (TTS) has demonstrated remarkable success in enhancing large language models, yet its application to next-token prediction (NTP) autoregressive (AR) image generation remains largely uncharted. Existing TTS approaches for visual AR (VAR), which rely on frequent partial decoding and external reward models, are ill-suited for NTP-based image generation due to the inherent incompleteness of intermediate decoding results. To bridge this gap, we introduce ScalingAR, the first TTS fr…