6 citations · 9 across the 4 of their papers we have counts for
4 papers
Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement
Suchae Jeong, Inseong Choi, Youngsik Yun +1
Text-to-Image models, including Stable Diffusion, have significantly improved in generating images that are highly semantically aligned with the given prompts. However, existing mo…
CIC: A Framework for Culturally-Aware Image Captioning
Youngsik Yun, Jihie Kim
Image Captioning generates descriptive sentences from images using Vision-Language Pre-trained models (VLPs) such as BLIP, which has improved greatly. However, current methods lack…
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu +5
Accurate representation in media is known to improve the well-being of the people who consume it. Generative image models trained on large web-crawled datasets such as LAION are kn…
Towards Equitable Representation in Text-to-Image Synthesis Models with the Cross-Cultural Understanding Benchmark (CCUB) Dataset
Zhixuan Liu, Youeun Shin, Beverley-Claire Okogwu +5
It has been shown that accurate representation in media improves the well-being of the people who consume it. By contrast, inaccurate representations can negatively affect viewers…