Evaluating Attribute Confusion in Fashion Text-to-Image Generation
- 2 January 2026
- book chapter
- Published by Springer Nature
- p. 561-573
Abstract
No abstract availableKeywords
All Related Versions
This publication has 10 references indexed in Scilit:
- Evaluating Text-to-Visual Generation with Image-to-Text Generation2024
- Improved Baselines with Visual Instruction Tuning2024
- VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation2024
- Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion ModelsACM Transactions on Graphics, 2023
- Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP2023
- Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation2023
- High-Resolution Image Synthesis with Latent Diffusion Models2022
- CLIPScore: A Reference-free Evaluation Metric for Image Captioning2021
- The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation2021
- Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset2020