This is the official code of paper 'DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark'.

💥 News!!!

• (08/14) We will open source a more challenging test set that includes state-of-the-art generation algorithms such as Kling, jimeng, CogVideoX, etc.

🎯 Todo

• Release source code.
• Release dataset.

📁 Dataset download

Data preparation process

• Download the original videos.

  • Generated videos: all generated videos can download at https://modelscope.cn/datasets/cccnju/Gen-Video.

  • Real videos: The data from the MSRVTT dataset is contained within the GenVideo-Val.zip file. We also provided the selected Youku videos in previous link . For Kinetics-400, you will need to download it yourself at https://github.com/cvdfoundation/kinetics-dataset.

• Preprocess the video and get the data list csv file.

Statistics of real and generated videos in the GenVideo dataset:

Video Source	Type	Task	Time	Resolution	FPS	Length	Training Set	Testing Set
Kinetics-400	Real	-	17.05	224-340	-	5-10s	260,232	-
Youku-mPLUG	Real	-	23.07	-	-	10-120s	953,279	-
MSR-VTT	Real	-	16.05	-	-	10-30s	-	10,000
ZeroScope	Fake	T2V	23.07	1024×576	8	3s	133,169	-
I2VGen-XL	Fake	I2V	23.12	1280×720	8	2s	61,975	-
SVD	Fake	I2V	23.12	1024×576	8	4s	149,026	-
VideoCrafte	Fake	T2V	24.01	1024×576	8	2s	39,485	-
Pika	Fake	T2V&I2V	24.02	1088×640	24	3s	98,377
DynamiCrafter	Fake	I2V	24.03	1024×576	8	3s	46,205	-
SD	Fake	T2V&I2V	23-24	512-1024	8	2-6s	200,720	-
SEINE	Fake	I2V	24.04	1024×576	8	2-4s	24,737	-
Latte	Fake	T2V	24.03	512×512	8	2s	149,979	-
OpenSora	Fake	T2V	24.03	512×512	8	2s	177,410	-
ModelScope	Fake	T2V	23.03	256×256	8	4s	-	700
MorphStudio	Fake	T2V	23.08	1280×720	8	2s	-	700
MoonValley	Fake	T2V	24.01	1024×576	16	3s	-	626
HotShot	Fake	T2V	23.10	672×384	8	1s	-	700
Show_1	Fake	T2V	23.10	576×320	8	4s	-	700
Gen2	Fake	I2V&T2V	23.09	896×512	24	4s	-	1,380
Crafter	Fake	T2V	23.04	256×256	8	4s	-	1,400
Lavie	Fake	T2V	23.09	1280×2048	8	2s	-	1,400
Sora	Fake	T2V	24.02	-	-	-60s	-	56
WildScrape	Fake	T2V&I2V	24	512-1024	8-16	2-6s	-	926
Total Count	-	-	-	-	-	-	2,294,594	19,588

🐍 Detail Mamba (DeMamba)

In memory of Kobe Bryant (generated by GPT-4o)

"Determination wins games, but Detail wins championships." — Kobe Bryant, in his Show Detail, 2018

The overall framework of our Detail Mamba (DeMamba)

👾 Citing GenVideo&DeMamba

If you use GenVideo or DeMamba in your research or use the codebase here, please use the following BibTeX entry.

@article{DeMamba,
      title={DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark},
      author={Haoxing Chen and Yan Hong and Zizheng Huang and Zhuoer Xu and Zhangxuan Gu and Yaohui Li and Jun Lan and Huijia Zhu and Jianfu Zhang and Weiqiang Wang and Huaxiong Li},
      journal={arXiv preprint arXiv:2405.19707},
      year={2024}
}

Acknowledgement

Many thanks to the nice work of STIL, CLIP, XCLIP, NPR and VideoMAE.

📧 Contact

If you have any questions, feel free to contact us: hx.chen@hotmail.com.