1 citations · 1 across the 10 of their papers we have counts for
10 papers
Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation
Ziyue Liu, Davide Talon, Federico Girella +5
Sketches offer designers a concise yet expressive medium for early-stage fashion ideation by specifying structure, silhouette, and spatial relationships, while textual descriptions…
Evaluating Attribute Confusion in Fashion Text-to-Image Generation
Ziyue Liu, Federico Girella, Yiming Wang +1
Despite the rapid advances in Text-to-Image (T2I) generation models, their evaluation remains challenging in domains like fashion, involving complex compositional generation. Recen…
LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing
Federico Girella, Davide Talon, Ziyue Liu +3
Fashion design is a complex creative process that blends visual and textual expressions. Designers convey ideas through sketches, which define spatial structure and design elements…
Seeing the Abstract: Translating the Abstract Language for Vision Language Models
Davide Talon, Federico Girella, Ziyue Liu +2
Natural language goes beyond dryly describing visual content. It contains rich abstract concepts to express feeling, creativity and properties that cannot be directly perceived. Ye…
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
Federico Girella, Ziyue Liu, Franco Fummi +3
Defect detection is the task of identifying defects in production samples. Usually, defect detection classifiers are trained on ground-truth data formed by normal samples (negative…
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
Luigi Capogrosso, Federico Girella, Francesco Taioli +5
In this study, we show that diffusion models can be used in industrial scenarios to improve the data augmentation procedure in the context of surface defect detection. In general,…