Tootfinder

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…

Constraints on Compact Dark Matter Population from Micro-lensing Effect of Gravitational Wave for the third-generation gravitational Wave Detector
Xin-Yi Lin, Xi-Jing Wang, Huan Zhou, Zhengxiang Li, Kai Liao, Zong-Hong Zhu
https://arxiv.org/abs/2508.13577

Constraints on Compact Dark Matter Population from Micro-lensing Effect of Gravitational Wave for the third-generation gravitational Wave Detector
Since the pioneering detection of gravitational wave (GW) from a binary black hole merger by the LIGO-Virgo collaboration, GW has become a powerful tool for probing astrophysics and cosmology. If compact dark matter (DM) candidates, e.g. primordial black holes, contribute a substantial fraction of the DM component across a broad mass spectrum, their gravitational influence would imprint distinctive micro-lensing signatures on long-wavelength GW signals. In this paper, we propose a systematic me…

Adobe updates its Firefly video model and adds a beta Generate Sound Effects tool that can create custom sounds from text prompts and the user's voice (Sabrina Ortiz/ZDNET)
https://www.zdnet.com/article/adobe-firefly-ca…

Adobe Firefly can now generate AI sound effects for videos - and I'm seriously impressed
In addition to video sound effects, Text to Avatar is launching in beta. It allows you to turn scripts into avatar-led videos.

»DuckDuckGo now lets you hide AI-generated images in search results:
Privacy-focused browser DuckDuckGo is rolling out a new setting that lets users filter out AI images in search results. The company says it’s launching the feature in response to feedback from users who said AI images can get in the way of finding what they’re looking for.«
I don't prefer this as my main search engine but if this could not trigger ain anti-AI hype?
🔎

DuckDuckGo now lets you hide AI-generated images in search results | TechCrunch
DuckDuckGo's new search feature comes as the internet is being flooded with AI-generated slop.

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Haixin Liu, Alexa Carollo, Jizhao Zang, Scott B. Papp
https://arxiv.org/abs/2508.13393

Next-generation soliton frequency combs in photonic-crystal and nanocomposite microresonators
Microresonator frequency combs offer tremendous opportunity to advance applications in fundamental research and technology by linking the optical and microwave frequency domains. Kerr-nonlinear microresonators further enable the generation of portable, integrated optical frequency combs, which are called microcombs. However, the dispersion engineering usually suffers from the small, geometric parameter space, and achieving soliton microcombs is challenging and usually requires complicated exper…

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Shaohua Duan, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun
https://arxiv.org/abs/2508.13993

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Long-context modeling is critical for a wide range of real-world tasks, including long-context question answering, summarization, and complex reasoning tasks. Recent studies have explored fine-tuning Large Language Models (LLMs) with synthetic data to enhance their long-context capabilities. However, the effectiveness of such approaches is often limited by the low diversity and factual inconsistencies in the generated data. To address these challenges, we propose LongMab-PO, a novel framework t…

Families' Vision of Generative AI Agents for Household Safety Against Digital and Physical Threats
Zikai Wen, Lanjing Liu, Yaxing Yao
https://arxiv.org/abs/2508.11030 https:…

Families' Vision of Generative AI Agents for Household Safety Against Digital and Physical Threats
As families face increasingly complex safety challenges in digital and physical environments, generative AI (GenAI) presents new opportunities to support household safety through multiple specialized AI agents. Through a two-phase qualitative study consisting of individual interviews and collaborative sessions with 13 parent-child dyads, we explored families' conceptualizations of GenAI and their envisioned use of AI agents in daily family life. Our findings reveal that families preferred to di…

FakeHunter: Multimodal Step-by-Step Reasoning for Explainable Video Forensics
Chen Chen, Runze Li, Zejun Zhang, Pukun Zhao, Fanqing Zhou, Longxiang Wang, Haojian Huang
https://arxiv.org/abs/2508.14581 …

FakeHunter: Multimodal Step-by-Step Reasoning for Explainable Video Forensics
FakeHunter is a multimodal deepfake detection framework that combines memory-guided retrieval, chain-of-thought (Observation-Thought-Action) reasoning, and tool-augmented verification to provide accurate and interpretable video forensics. FakeHunter encodes visual content using CLIP and audio using CLAP, generating joint audio-visual embeddings that retrieve semantically similar real exemplars from a FAISS-indexed memory bank for contextual grounding. Guided by the retrieved context, the system…

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
Juepeng Zheng, Zi Ye, Yibin Wen, Jianxi Huang, Zhiwei Zhang, Qingmei Li, Qiong Hu, Baodong Xu, Lingyuan Zhao, Haohuan Fu
https://arxiv.org/abs/2508.14558

A Comprehensive Review of Agricultural Parcel and Boundary Delineation from Remote Sensing Images: Recent Progress and Future Perspectives
Powered by advances in multiple remote sensing sensors, the production of high spatial resolution images provides great potential to achieve cost-efficient and high-accuracy agricultural inventory and analysis in an automated way. Lots of studies that aim at providing an inventory of the level of each agricultural parcel have generated many methods for Agricultural Parcel and Boundary Delineation (APBD). This review covers APBD methods for detecting and delineating agricultural parcels and syst…

Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Jiabo MA, Wenqiang Li, Jinbang Li, Ziyi Liu, Linshan Wu, Fengtao Zhou, Li Liang, Ronald Cheong Kin Chan, Terence T. W. Wong, Hao Chen
https://arxiv.org/abs/2509.14119

Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Accurate histopathological diagnosis often requires multiple differently stained tissue sections, a process that is time-consuming, labor-intensive, and environmentally taxing due to the use of multiple chemical stains. Recently, virtual staining has emerged as a promising alternative that is faster, tissue-conserving, and environmentally friendly. However, existing virtual staining methods face significant challenges in clinical applications, primarily due to their reliance on well-aligned pai…