8 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.HC2026
Generative UI: LLMs are Effective UI Generators
Yaniv Leviathan, Dani Valevski, Matan Kalman +10
AI models excel at creating content, but typically render it with static, predefined interfaces. Specifically, the output of LLMs is often a markdown "wall of text". Generative UI…
cs.CV2023★ 8 cited
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Eyal Segalis, Dani Valevski, Danny Lumen +2
Text-to-image diffusion models achieved a remarkable leap in capabilities over the last few years, enabling high-quality and diverse synthesis of images from a textual prompt. Howe…
cs.CV2022★ 8 cited
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image
Dani Valevski, Matan Kalman, Eyal Molad +3
Text-driven image generation methods have shown impressive results recently, allowing casual users to generate high quality images by providing textual descriptions. However, simil…