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genvidbench

https://github.com/genvidbench/genvidbench

Science Score: 44.0%

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    Low similarity (10.0%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: genvidbench
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 12.7 MB
Statistics
  • Stars: 18
  • Watchers: 1
  • Forks: 0
  • Open Issues: 4
  • Releases: 0
Created over 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License Code of conduct Citation

README.md

GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video

Dataset: BaiDuYun The code is: 6Bb4

Instruction

The rapid advancement of video generation models has made it increasingly challenging to distinguish AI-generated videos from real ones. This issue underscores the urgent need for effective AI-generated video detectors to prevent the dissemination of false information through such videos. However, the development of high-performance generative video detectors is currently impeded by the lack of large-scale, high-quality datasets specifically designed for generative video detection. To this end, we introduce GenVidBench, a challenging AI-generated video detection dataset with several key advantages: 1) Cross Source and Cross Generator: The cross-generation source mitigates the interference of video content on the detection. The cross-generator ensures diversity in video attributes between the training and test sets, preventing them from being overly similar. 2) State-of-the-Art Video Generators: The dataset includes videos from 8 state-of-the-art AI video generators, ensuring that it covers the latest advancements in the field of video generation. 3) Rich Semantics: The videos in GenVidBench are analyzed from multiple dimensions and classified into various semantic categories based on their content. This classification ensures that the dataset is not only large but also diverse, aiding in the development of more generalized and effective detection models. We conduct a comprehensive evaluation of different advanced video generators and present a challenging settings.

微信截图_20240908221413

News

2025/02/11: Update the download link and fixed the bug. Note that we uploaded the ID of Pair1 in the original dataset to path 'data/sampleddatasetuuid.zip'. Due to copyright restrictions, We can't provide these videos directly. You can select the corresponding video from these three data sets Vript/HD-VG-130M/VidProM based on these IDs.

2025/01/25: The training code is released.

License

CC BY-NC 4.0

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMAction2 Contributors"
title: "OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark"
date-released: 2020-07-21
url: "https://github.com/open-mmlab/mmaction2"
license: Apache-2.0

GitHub Events

Total
  • Issues event: 6
  • Watch event: 17
  • Issue comment event: 6
  • Push event: 24
  • Fork event: 1
  • Create event: 2
Last Year
  • Issues event: 6
  • Watch event: 17
  • Issue comment event: 6
  • Push event: 24
  • Fork event: 1
  • Create event: 2

Issues and Pull Requests

Last synced: 6 months ago

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  • Total pull request authors: 0
  • Average comments per issue: 0.0
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  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 0
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  • Average time to close pull requests: N/A
  • Issue authors: 5
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Top Authors
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  • RCorvi (1)
  • Hoda-Osama (1)
  • YANDaoyu (1)
  • breakices (1)
  • Zig-HS (1)
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Dependencies

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