🎬 video

Movie Gen Bench

Video Generation Evaluation Benchmark

#Artificial Intelligence
#machine learning
#video generation
#media generation
#Evaluation Baseline
Movie Gen Bench

Product Details

Movie Gen Bench is a video generation evaluation benchmark published by Facebook Research, aiming to provide a fair and easily comparable standard for future research in the field of video generation. The benchmark test includes two parts, Movie Gen Video Bench and Movie Gen Audio Bench, which evaluate video content generation and audio generation respectively. The release of Movie Gen Bench is of great significance to promote the development and evaluation of video generation technology. It can help researchers and developers better understand and improve the performance of video generation models.

Main Features

1
Movie Gen Video Bench: Contains 1003 prompts, covering various testing concepts such as human activities, animals, natural landscapes, and physical phenomena.
2
Movie Gen Audio Bench: Contains 527 generated videos and related sound effects and music cues, covering various environmental sound effects and video content.
3
Providing non-picked generated videos: For a fair comparison, the videos generated by Movie Gen on two benchmarks are released.
4
Downloads of video and audio prompts: A list of video prompts and download links for the generated videos are provided for the convenience of researchers.
5
Supports video-to-audio and text plus video-to-audio generation evaluation: can be used to evaluate sound effects generation and joint sound effects and background music generation.
6
Provide detailed technical reports: Through published technical reports, researchers can gain an in-depth understanding of the technical details and evaluation methods of Movie Gen.

How to Use

1
1. Visit the GitHub page and download the Movie Gen Bench dataset and prompt list.
2
2. Generate video content or audio content based on the provided prompt list.
3
3. Use Movie Gen Bench’s evaluation criteria to test the quality of the generated video or audio.
4
4. Compare test results with other studies to evaluate model performance.
5
5. Optimize and improve the model based on the evaluation results.
6
6. Refer to Movie Gen’s technical report to learn more about the details of video generation technology.

Target Users

The target audience is researchers and developers in the field of video generation, who can use Movie Gen Bench to evaluate and improve their own video generation models, make fair comparisons with other research, and advance the development of video generation technology.

Examples

The researchers used Movie Gen Bench to test the performance of their newly developed video generation model.

Developers use the unselected video data set provided by Movie Gen Bench to train and optimize their video generation algorithms.

Educational institutions use Movie Gen Bench as a teaching resource to help students understand the principles and applications of video generation technology.

Quick Access

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Categories

🎬 video
› video generation
› research tools

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