PKU-YuanGroup/ChronoMagic-Bench
[NeurIPS 2024 D&B Spotlightš„] ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
This project helps researchers and developers evaluate how well AI models can generate realistic time-lapse videos from text descriptions. It takes a text prompt describing a time-lapse scene (like 'a flower blooming') and analyzes the resulting video to see if it accurately reflects physical, biological, or chemical processes over time. The primary users are researchers or engineers working on developing or benchmarking text-to-video generation AI.
210 stars.
Use this if you are developing or evaluating AI models that generate time-lapse videos and need a way to objectively measure their ability to simulate real-world physical, biological, or chemical changes.
Not ideal if you are looking to simply create time-lapse videos for creative projects, as this tool is focused on evaluating AI model performance rather than direct content creation.
Stars
210
Forks
14
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
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