ACM Multimedia 2024 Grand Challenge Report for Artificial Intelligence Generated Image Detection
Authors: 
Shien Song, Jie Yang, Jin Chen, Han Qi, Yifei Xue, Yizhen Lao, Yi YuAuthors Info & Claims
Shien Song, Jie Yang, Jin Chen, Han Qi, Yifei Xue, Yizhen Lao, Yi YuAuthors Info & ClaimsPages 11470 - 11471
Abstract
The AI Generated Image Detection Challenge, organized by MGTV, invites participants to develop advanced algorithms capable of accurately distinguishing between real and AI-generated images. These images may be created using various cutting-edge techniques, including but not limited to GAN and Stable Diffusion algorithms. Participants are encouraged to utilize open-source datasets or develop their own datasets to train their algorithms. This challenge presents a unique opportunity to enhance the field of AI-generated image detection, particularly in improving the algorithm's generalization capabilities to identify unknown and emerging samples. For more details and resources, please visit our official website (https://challenge.ai.mgtv.com/#/track/24).
References
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Google DeepMind 2024. Veo. Retrieved August 1, 2024 from https://deepmind.google/technologies/veo/
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KUAISHOU 2024. KLING. Retrieved August 1, 2024 from https://kling.kuaishou.com/en
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LumaAI 2024. Luma. Retrieved August 1, 2024 from https://lumalabs.ai/dream-machine
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OpenAI. 2024. Sora. Retrieved August 1, 2024 from https://openai.com/index/sora/
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Pika 2024. Pika. Retrieved August 1, 2024 from https://pika.art/home
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RUNWAY AI 2024. Runway. Retrieved August 1, 2024 from https://runwayml.com/
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Peize Sun, Yi Jiang, Shoufa Chen, Shilong Zhang, Bingyue Peng, Ping Luo, and Zehuan Yuan. 2024. Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation. arXiv:2406.06525
Index Terms
- ACM Multimedia 2024 Grand Challenge Report for Artificial Intelligence Generated Image Detection
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Information & Contributors
Information
Published In
October 2024
11719 pages
ISBN:9798400706868
DOI:10.1145/3664647
- General Chairs:
- Jianfei Cai,
- Mohan Kankanhalli,
- Balakrishnan Prabhakaran,
- Susanne Boll,
- Program Chairs:
- Ramanathan Subramanian,
- Liang Zheng,
- Vivek K. Singh,
- Pablo Cesar,
- Lexing Xie,
- Dong Xu
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Publication History
Published: 28 October 2024
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MM '24
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MM '24: The 32nd ACM International Conference on Multimedia
October 28 - November 1, 2024
Melbourne VIC, Australia
Acceptance Rates
MM '24 Paper Acceptance Rate 1,150 of 4,385 submissions, 26%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%
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