3 citations · 5 across the 12 of their papers we have counts for
12 papers
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…
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
Haonan Zhu, Elad Hirsch, Alexandria Minetti +3
Text-to-image models now generate graphic design at production scale, yet their supervision still comes primarily from photo-style preference datasets with a single overall verdict…
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.…
LICA: Layered Image Composition Annotations for Graphic Design Research
Elad Hirsch, Shubham Yadav, Mohit Garg +1
We introduce LICA (Layered Image Composition Annotations), a large scale dataset of 1,550,244 multi-layer graphic design compositions designed to advance structured understanding a…
Image-aware Evaluation of Generated Medical Reports
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal
The paper proposes a novel evaluation metric for automatic medical report generation from X-ray images, VLScore. It aims to overcome the limitations of existing evaluation methods,…
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks
Elad Hirsch, Gefen Dawidowicz, Ayellet Tal
Medical report generation from X-ray images is a challenging task, particularly in an unpaired setting where paired image-report data is unavailable for training. To address this c…
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
Elad Hirsch, Gefen Dawidowicz, Ayellet Tal
Generating medical reports for X-ray images presents a significant challenge, particularly in unpaired scenarios where access to paired image-report data for training is unavailabl…
LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz, Elad Hirsch, Ayellet Tal
Medical imaging analysis plays a critical role in the diagnosis and treatment of various medical conditions. This paper focuses on chest X-ray images and their corresponding radiol…
Asymmetric Image Retrieval with Cross Model Compatible Ensembles
Ori Linial, Alon Shoshan, Nadav Bhonker +4
The asymmetrical retrieval setting is a well suited solution for resource constrained applications such as face recognition and image retrieval. In this setting, a large model is u…
CLID: Controlled-Length Image Descriptions with Limited Data
Elad Hirsch, Ayellet Tal
Controllable image captioning models generate human-like image descriptions, enabling some kind of control over the generated captions. This paper focuses on controlling the captio…
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch, Ayellet Tal
Visual illusions may be explained by the likelihood of patches in real-world images, as argued by input-driven paradigms in Neuro-Science. However, neither the data nor the tools e…