5 papers
GDB-Reward: From Evaluation Metrics to Training Rewards for Graphic Design
Adrienne Deganutti, Purvanshi Mehta, Simon Hadfield +1
Text-to-image models excel at natural image synthesis but struggle with graphic design, where success depends on satisfying precise constraints on typography, layout, color, and vi…
Evaluating Design Video Generation: Metrics for Compositional Fidelity
Adrienne Deganutti, Dingning Cao, Jaejung Seol +2
Generative video models are increasingly used in design animation tasks, yet no standardized evaluation framework exists for this domain. Unlike natural video generation, design an…
Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis
Haonan Zhu, Adrienne Deganutti, Elad Hirsch +1
SVG generation is typically evaluated by comparing rendered outputs to reference images, which captures visual similarity but not the structural properties that make SVG editable,…
Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks
Adrienne Deganutti, Elad Hirsch, Haonan Zhu +2
We introduce GraphicDesignBench (GDB), the first comprehensive benchmark suite designed specifically to evaluate AI models on the full breadth of professional graphic design tasks.…
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description
Adrienne Deganutti, Simon Hadfield, Andrew Gilbert
Audio Description is a narrated commentary designed to aid vision-impaired audiences in perceiving key visual elements in a video. While short-form video understanding has advanced…