1 citations · 1 across the 4 of their papers we have counts for
4 papers
BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models
Eliran Kachlon, Alexander Visheratin, Nimrod Sarid +6
Text-to-image models have rapidly advanced in realism and controllability, with recent approaches leveraging long, detailed captions to support fine-grained generation. However, a…
Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions
Eyal Gutflaish, Eliran Kachlon, Hezi Zisman +8
Text-to-image models have rapidly evolved from casual creative tools to professional-grade systems, achieving unprecedented levels of image quality and realism. Yet, most models ar…
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
Bingchen Liu, Ehsan Akhgari, Alexander Visheratin +7
We introduce Playground v3 (PGv3), our latest text-to-image model that achieves state-of-the-art (SoTA) performance across multiple testing benchmarks, excels in graphic design abi…
NLLB-CLIP -- train performant multilingual image retrieval model on a budget
Alexander Visheratin
Today, the exponential rise of large models developed by academic and industrial institutions with the help of massive computing resources raises the question of whether someone wi…