8 citations · 9 across the 2 of their papers we have counts for
2 papers
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.CV2023★ 1 cited
Face0: Instantaneously Conditioning a Text-to-Image Model on a Face
Dani Valevski, Danny Wasserman, Yossi Matias +1
We present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or in…