Image, video, audio, and text generation
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
![[2603.12057] Coarse-Guided Visual Generation via Weighted h-Transform Sampling](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2603.12057: Coarse-Guided Visual Generation via Weighted h-Transform Sampling
Abstract page for arXiv paper 2603.07455: Image Generation Models: A Technical History
Over 360 employees from Google and OpenAI have signed an open letter supporting Anthropic's stance against the Pentagon's demands for AI ...
The Vergecast discusses Samsung's Galaxy S26 AI camera features, arguing they redefine photography and raise concerns about the essence o...
OpenAI secures $110 billion in private funding, led by Amazon, Nvidia, and SoftBank, marking a significant milestone in AI infrastructure...
OpenAI secures $110 billion in new investments from Amazon, Nvidia, and Softbank, enhancing its market position and partnerships while pr...
The article discusses an experiment comparing the writing styles of Dr. Seuss and Hemingway using language models, highlighting the poten...
The article discusses the uniformity in AI-generated marketing copy across different platforms, highlighting the challenges of creating d...
Huxe is an AI-powered app that provides personalized daily audio summaries from your email and calendar, helping users save time and stay...
The article seeks feedback on a research piece about AI's role in creative writing, inviting community insights to enhance future work.
Anthropic has rejected the Pentagon's demand to remove AI safeguards for its model Claude, aiming to prevent its use in mass surveillance...
The article discusses the challenges of using generative AI in creating functional designs, emphasizing the need for integrating physics ...
This article presents MedSegLatDiff, a novel diffusion model for efficient medical image segmentation that enhances interpretability by g...
The Tool Decathlon introduces a benchmark for evaluating language agents on diverse, realistic, and complex tasks, highlighting significa...
The paper introduces PoSh, a new metric using scene graphs to enhance the evaluation of detailed image descriptions by LLMs, outperformin...
The paper presents VQ-Style, a method for disentangling style and content in human motion data using Residual Vector Quantized Variationa...
AgentHub proposes a registry for AI agents that enhances discoverability, verifiability, and reproducibility, addressing gaps in current ...
The paper presents a novel one-step diffusion sampler that utilizes self-distillation and deterministic flow to enhance sampling efficien...
The paper presents a novel attack method, Adversarial PhoneTic Prompting (APT), that exploits phonetic memorization in generative AI syst...
This paper explores how language models (LMs) categorize event plausibility, revealing that LMs can reliably discern modal categories, wh...
This study investigates the impact of AI assistants on software maintainability, revealing no significant differences in code evolution d...
This paper presents a novel framework for secure and reversible face anonymization using diffusion models, addressing challenges in image...
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