4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
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…
cs.CV2024★ 4 cited
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
Daiqing Li, Aleks Kamko, Ehsan Akhgari +3
In this work, we share three insights for achieving state-of-the-art aesthetic quality in text-to-image generative models. We focus on three critical aspects for model improvement:…