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Davide Talon

4 accepted papers

2026

How to Take a Memorable Picture? Empowering Users with Actionable Feedback

CVPR 2026

Image memorability, i.e., how likely an image is to be remembered, has traditionally been studied in computer vision either as a passive prediction task, with models regressing a scalar score, or with generative methods altering the visual input to boost the image likelihood of being remembered. Yet

Cited by 0SourceScholar
2025

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing

ICCV 2025poster

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, and textual descriptions, capturing material, texture, and stylistic details. In this paper, we present LOcalized Text…

Cited by 0SourcePDFScholar
2025

Seeing the Abstract: Translating the Abstract Language for Vision Language Models

CVPR 2025poster

Natural language goes beyond dryly describing visual content. It contains rich abstract concepts to express feeling, creativity and properties that cannot be directly perceived. Yet, current research in Vision Language Models (VLMs) has not shed light on abstract-oriented language.Our research break…

2025

Training-Free Personalization via Retrieval and Reasoning on Fingerprints

ICCV 2025poster

Vision Language Models (VLMs) have lead to major improvements in multimodal reasoning, yet they still struggle to understand user-specific concepts. Existing personalization methods address this limitation butheavily rely on training procedures, that can be either costly or unpleasant to individual…

Cited by 0SourcePDFScholar