When working on projects, architects must quickly turn rough concepts into visual representations. Text-to-image models offer ...
To date, the main role of AI in scientific research has been to assist with narrow tasks such as discovering chemical ...
Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to "humanize" the writing, a pattern experts say ...
Google’s free AI tools can do many daily tasks. Users can bring multiple tasks onto one platform instead of keeping different apps.Tools li ...
Microsoft has introduced MAI-Image-2, its latest in-house text-to-image model designed to generate more realistic and usable ...
GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text Rendering
GlyphPrinter is a preference-based text rendering framework designed to eliminate the reliance on explicit reward models for visual text generation. It addresses the common failure cases in existing ...
Abstract: Automatic exploit generation (AEG) is widely recognized as one of the most effective methods for assessing the risk level of vulnerabilities. To exploit heap-related vulnerabilities, it is ...
The overview of the distillation framework of ArcFlow. Diffusion models have achieved remarkable generation quality, but they suffer from significant inference cost due to their reliance on multiple ...
Abstract: Integrated sensing and communications (ISACs) is emerging as a cornerstone technology for sixth-generation (6G) wireless systems, unifying connectivity and environmental mapping through ...
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