Evaluating Design Video Generation: Metrics for Compositional Fidelity
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Abstract (arXiv)
Generative video models are increasingly used in design animation tasks, yet no standardized evaluation framework exists for this domain. Unlike natural video generation, design animation imposes structured constraints: specific components shall animate with prescribed motion types, directions, speed and timing, while non-animated regions must remain stable and layout structure must be preserved. This paper provides a fully automated evaluation framework organized across four dimensions: layout fidelity, motion correctness, temporal quality, and content fidelity. This eliminates the reliance on subjective human evaluation and establishes a common basis for benchmarking progress in the field. We release the code and dataset here: https://github.com/purvanshi/lica-bench.
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References · 16
- 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,822
- 2024Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysiscited by 1,413
- 2024YOLOv11: An Overview of the Key Architectural Enhancementscited by 425
- 2023EvalCrafter: Benchmarking and Evaluating Large Video Generation Modelscited by 340
- 2021CanvasVAE: Learning to Generate Vector Graphic Documentscited by 95
- 2023PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layoutcited by 61
- 2022Composition-aware Graphic Layout GAN for Visual-textual Presentation Designscited by 59
- 2025PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Frameworkcited by 40
- 2022LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designercited by 15
- 2025AdsQA: Towards Advertisement Video Understandingcited by 13
- 2025OCRGenBench: A Comprehensive Benchmark for Evaluating OCR Generative Capabilitiescited by 9
- 2025VideoAds for Fast-Paced Video Understandingcited by 8
4 more
- 2026Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Taskscited by 8
- 2026LICA: Layered Image Composition Annotations for Graphic Design Researchcited by 7
- 2026Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspectivecited by 6
- 2026E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMscited by 4
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