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cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

Training-Free Personalization via Retrieval and Reasoning on Fingerprints

Deepayan Das, Davide Talon, Yiming Wang +2

Vision Language Models (VLMs) have lead to major improvements in multimodal reasoning, yet they still struggle to understand user-specific concepts. Existing personalization method…

cs.CV2024

One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering

Deepayan Das, Davide Talon, Massimiliano Mancini +2

Vision-Language Models (VLMs) have shown significant promise in Visual Question Answering (VQA) tasks by leveraging web-scale multimodal datasets. However, these models often strug…