

Movie Gen Bench
Overview :
Movie Gen Bench, released by Facebook Research, is a video generation evaluation benchmark designed to provide fair and easily comparable standards for future research in video generation. The benchmark includes two components: 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 significant for advancing video generation technology and evaluation, assisting researchers and developers in better understanding and improving the performance of video generation models.
Target Users :
The target audience comprises researchers and developers in the field of video generation, who can use Movie Gen Bench to evaluate and enhance their video generation models, facilitate fair comparisons with other studies, and advance video generation technology.
Use Cases
Researchers use Movie Gen Bench to test the performance of their newly developed video generation models.
Developers leverage the non-selected video dataset provided by Movie Gen Bench to train and optimize their video generation algorithms.
Educational institutions utilize Movie Gen Bench as a teaching resource to help students understand the principles and applications of video generation technology.
Features
Movie Gen Video Bench: Includes 1,003 prompts covering various testing concepts such as human activities, animals, natural landscapes, and physical phenomena.
Movie Gen Audio Bench: Contains 527 generated videos along with related sound effects and music prompts, encompassing various environmental sounds and video content.
Non-selected generated videos provided: To ensure fair comparisons, videos generated by Movie Gen across both benchmark tests have been released.
Downloadable video and audio prompts: A list of video prompts and download links for generated videos are provided for researchers' convenience.
Supports video-to-audio and text-to-video-to-audio generation evaluation: Useful for assessing the generation of sound effects and the combined generation of sound effects with background music.
Detailed technical report provided: Researchers can download the technical report to gain deeper insights into the technical details and evaluation methods of Movie Gen.
How to Use
1. Visit the GitHub page to download the dataset and prompt list for Movie Gen Bench.
2. Generate video or audio content based on the provided prompt list.
3. Utilize the evaluation criteria of Movie Gen Bench to test the quality of the generated video or audio.
4. Compare the test results with other studies to assess the model's performance.
5. Optimize and refine the model based on the evaluation results.
6. Refer to the technical report of Movie Gen for an in-depth understanding of video generation technology.
Featured AI Tools
English Picks

Pika
Pika is a video production platform where users can upload their creative ideas, and Pika will automatically generate corresponding videos. Its main features include: support for various creative idea inputs (text, sketches, audio), professional video effects, and a simple and user-friendly interface. The platform operates on a free trial model, targeting creatives and video enthusiasts.
Video Production
17.6M

Haiper
Haiper AI is driven by the mission to build the best perceptual foundation models for the next generation of content creation. It offers the following key features: Text-to-Video, Image Animation, Video Rewriting, Director's View.
Haiper AI can seamlessly transform text content and static images into dynamic videos. Simply drag and drop images to bring them to life. Using Haiper AI's rewriting tool, you can easily modify video colors, textures, and elements to elevate the quality of your visual content. With advanced control tools, you can adjust camera angles, lighting effects, character poses, and object movements like a director.
Haiper AI is suitable for a variety of scenarios, such as content creation, design, marketing, and more. For pricing information, please refer to the official website.
Video Production
9.7M