Sarah Laszlo — accepted AI-conference papers

2024

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri +2

ACL 2024long

Recent studies have shown that Text-to-Image (T2I) model generations can reflect social stereotypes present in the real world. However, existing approaches for evaluating stereotypes have a noticeable lack of coverage of global identity groups and their associated stereotypes. To address this gap, w…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗

2023

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting

Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini +8

CVPR 2023highlight

Text-guided image editing can have a transformative impact in supporting creative applications. A key challenge is to generate edits that are faithful to the input text prompt, while consistent with the input image. We present Imagen Editor, a cascaded diffusion model, built by fine-tuning Imagen on…

Cited by 185 Source ↗PDF ↗Scholar ↗