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The rapid advancement of video generation models has made it increasingly challenging to distinguish AI-generated videos from real ones.
FaceForensics++: Learning to Detect Manipulated Facial Images
Rössler, A.; Cozzolino, D.; Verdoliva, L.; Riess, C.; Thies, J.; and Nießner, M. 2019 · 1901
Earlier work this paper cites.
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Li, Y.; Yang, X.; Sun, P.; Qi, H.; and Lyu, S. 2020 · 1909
Earlier work this paper cites.
The DeepFake Detection Challenge (DFDC) Dataset
Dolhansky, B.; Bitton, J.; Pflaum, B.; Lu, J.; Howes, R.; Wang, M.; and Ferrer, C. C. 2020 · 2006
Earlier work this paper cites.
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Thies, J.; Zollhöfer, M.; Stamminger, M.; Theobalt, C.; and Nießner, M. 2020 · 2007
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Deng, J.; Dong, W.; Socher, R.; Li, L.-J.; Li, K.; and Fei-Fei, L. 2009 · 2009
Earlier work this paper cites.
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Carreira, J.; and Zisserman, A. 2017 · 2017
Earlier work this paper cites.
Temporal Relational Reasoning in Videos
Zhou, B.; Andonian, A.; Oliva, A.; and Torralba, A. 2018 · 2018
Earlier work this paper cites.
Slowfast networks for video recognition
Feichtenhofer, C.; Fan, H.; Malik, J.; and He, K. 2019 · 2019
Earlier work this paper cites.
Deepfakes dataset by Google, Jigsaw
google. 2019 · 2019
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TSM: Temporal Shift Module for Efficient Video Understanding
Lin, J.; Gan, C.; and Han, S. 2019 · 2019
Earlier work this paper cites.
Deferred neural rendering: Image synthesis using neural textures
Thies, J. e. a. 2019 · 2019
Earlier work this paper cites.
OpenMMLab’s Next Generation Video Understanding Toolbox and Benchmark
Contributors, M. 2020 · 2020
Earlier work this paper cites.
Temporal Interlacing Network
Shao, H.; Qian, S.; and Liu, Y. 2020 · 2020
Earlier work this paper cites.
Temporal Pyramid Network for Action Recognition
Yang, C.; Xu, Y.; Shi, J.; Dai, B.; and Zhou, B. 2020 · 2020
Cited alongside, same era.
Is Space-Time Attention All You Need for Video Understanding?
Bertasius, G.; Wang, H.; and Torresani, L. 2021 · 2021
Cited alongside, same era.
Multi-attentional Deepfake Detection
Zhao, H.; Zhou, W.; Chen, D.; Wei, T.; Zhang, W.; and Yu, N. 2021 · 2021
Cited alongside, same era.
Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Hong, W.; Ding, M.; Zheng, W.; Liu, X.; and Tang, J. 2022 · 2022
Cited alongside, same era.
Video swin transformer
Liu, Z.; Ning, J.; Cao, Y.; Wei, Y.; Zhang, Z.; Lin, S.; and Hu, H. 2022 · 2022
Cited alongside, same era.
Deepfake Detection by Exploiting Surface Anomalies: The SurFake Approach
Ciamarra, A.; Caldelli, R.; Becattini, F.; Seidenari, L.; and Del Bimbo, A. 2024 · 2024
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WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Hong, Y.; and Zhang, J. 2024 · 2024
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Distinguish any fake videos: Unleashing the power of large-scale data and motion features
Ji, L.; Lin, Y.; Huang, Z.; Han, Y.; Xu, X.; Wu, J.; Wang, C.; and Liu, Z. 2024 · 2024
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FaceSwap github
Kowalski, M. 2024 · 2024
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DeCoF: Generated Video Detection via Frame Consistency
Ma, L.; Zhang, J.; Deng, H.; Zhang, N.; Liao, Y.; and Yu, H. 2024 · 2024
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Blattmann, A.; Dockhorn, T.; Kulal, S.; Mendelevitch, D.; Kilian, M.; Lorenz, D.; Levi, Y.; English, Z.; Voleti, V.; Letts, A.; Jampani, V.; and Rombach, R. 2023 · 2023
Cited alongside, same era.
Evading DeepFake Detectors via Adversarial Statistical Consistency
Hou, Y.; Guo, Q.; Huang, Y.; Xie, X.; Ma, L.; and Zhao, J. 2023 · 2023
Cited alongside, same era.
Improving Fairness in Deepfake Detection
Ju, Y.; Hu, S.; Jia, S.; Chen, G. H.; and Lyu, S. 2023 · 2023
Cited alongside, same era.
Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Khachatryan, L.; Movsisyan, A.; Tadevosyan, V.; Henschel, R.; Wang, Z.; Navasardyan, S.; and Shi, H. 2023 · 2023
Cited alongside, same era.
Rahman, M. A.; Paul, B.; Sarker, N. H.; Hakim, Z. I. A.; and Fattah, S. A. 2023 · 2023
Cited alongside, same era.
TALL: Thumbnail layout for deepfake video detection
Xu, Y.; Liang, J.; Jia, G.; Yang, Z.; Zhang, Y.; and He, R. 2023 · 2023
Cited alongside, same era.
AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
Bai, J.; Lin, M.; and Cao, G. 2024 · 2024
Cited alongside, same era.
Vript: A Video Is Worth Thousands of Words
University, S. J. T. 2024 · 2024
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Vidprom: A million-scale real prompt-gallery dataset for text-to-video diffusion models
Wang, W.; and Yang, Y. 2024 · 2024
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MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Xia, Z.; Chen, Z.; Wu, B.; Li, C.; Hung, K.-W.; Zhan, C.; He, Y.; and Zhou, W. 2024 · 2024
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Mora: Enabling Generalist Video Generation via A Multi-Agent Framework
Yuan, Z.; Chen, R.; Li, Z.; Jia, H.; He, L.; Wang, C.; and Sun, L. 2024 · 2024
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What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
Zhang, X.; Yi, J.; Wang, C.; Zhang, C. Y.; Zeng, S.; and Tao, J. 2024 · 2024
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Open-sora: Democratizing efficient video production for all
Zheng, Z.; Peng, X.; Yang, T.; Shen, C.; Li, S.; Liu, H.; Zhou, Y.; Li, T.; and You, Y. 2024 · 2024
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Genimage: A million-scale benchmark for detecting ai-generated image
Zhu, M.; Chen, H.; Yan, Q.; Huang, X.; Lin, G.; Li, W.; Tu, Z.; Hu, H.; Hu, J.; and Wang, Y. 2024 · 2024
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