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The proliferation of AI-generated media poses significant challenges to information authenticity and social trust, making reliable detection methods highly demanded.
Msr-vtt: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui · 2016
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Global and local consistent wavelet-domain age synthesis
Peipei Li, Yibo Hu, Ran He, and Zhenan Sun · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Leveraging frequency analysis for deep fake image recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, and Thorsten Holz · 2020
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Diff-tts: A denoising diffusion model for text-to-speech
Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, and Nam Soo Kim · 2021
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Unsupervised and distributional detection of machine-generated text
Matthias Gallé, Jos Rozen, Germán Kruszewski, and Hady Elsahar · 2021
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Adversarial watermarking transformer: Towards tracing text provenance with data hiding
Sahar Abdelnabi and Mario Fritz · 2021
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Mtd-net: Learning to detect deepfakes images by multi-scale texture difference
Jiachen Yang, Aiyun Li, Shuai Xiao, Wen Lu, and Xinbo Gao · 2021
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Tweepfake: About detecting deepfake tweets
Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, and Maurizio Tesconi · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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All the news that’s fit to fabricate: Ai-generated text as a tool of media misinformation
Sarah Kreps, R Miles McCain, and Miles Brundage · 2022
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Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
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Lighting (in) consistency of paint by text
Hany Farid · 2022
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Wavelet-packets for deepfake image analysis and detection
Moritz Wolter, Felix Blanke, Raoul Heese, and Jochen Garcke · 2022
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Perspective (in) consistency of paint by text
Hany Farid · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
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Pluralistic aging diffusion autoencoder
Peipei Li, Rui Wang, Huaibo Huang, Ran He, and Zhaofeng He · 2023
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Combating misinformation in the era of generative ai models
Danni Xu, Shaojing Fan, and Mohan Kankanhalli · 2023
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Generative ai meets copyright
Pamela Samuelson · 2023
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Online detection of ai-generated images
David C Epstein, Ishan Jain, Oliver Wang, and Richard Zhang · 2023
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An empirical study of ai-generated text detection tools
A Akram · 2023
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Claude 3.5: Sonnet
Anthropic · 2023
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Imagen 2
G. DeepMind · 2023
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Midjourney
MidJourney · 2023
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Qwen-vl: A frontier large vision-language model with versatile abilities
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
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Dall·e 2
OpenAI · 2023
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Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
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Audioldm: text-to-audio generation with latent diffusion models
Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo Mandic, Wenwu Wang, and Mark D Plumbley · 2023
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Make-an-audio: text-to-audio generation with prompt-enhanced diffusion models
Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, and Zhou Zhao · 2023
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Text-to-audio generation using instruction-tuned llm and latent diffusion model
Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, and Soujanya Poria · 2023
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Wavjourney: Compositional audio creation with large language models
Xubo Liu, Zhongkai Zhu, Haohe Liu, Yi Yuan, Meng Cui, Qiushi Huang, Jinhua Liang, Yin Cao, Qiuqiang Kong, Mark D Plumbley, et al · 2023
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Uniaudio: An audio foundation model toward universal audio generation
Dongchao Yang, Jinchuan Tian, Xu Tan, Rongjie Huang, Songxiang Liu, Xuankai Chang, Jiatong Shi, Sheng Zhao, Jiang Bian, Xixin Wu, et al · 2023
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Christoforos Vasilatos, Manaar Alam, Talal Rahwan, Yasir Zaki, and Michail Maniatakos · 2023
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Dna-gpt: Divergent n-gram analysis for training-free detection of gpt-generated text
Xianjun Yang, Wei Cheng, Yue Wu, Linda Petzold, William Yang Wang, and Haifeng Chen · 2023
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Detectllm: Leveraging log rank information for zero-shot detection of machine-generated text
Jinyan Su, Terry Yue Zhuo, Di Wang, and Preslav Nakov · 2023
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Detectgpt: Zero-shot machine-generated text detection using probability curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn · 2023
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Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, and Yue Zhang · 2023
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Rongsheng Wang, Qi Li, and Sihong Xie · 2023
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Beat llms at their own game: Zero-shot llm-generated text detection via querying chatgpt
Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, and Ming Gu · 2023
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A watermark for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
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Cheap-fake detection with llm using prompt engineering
Guangyang Wu, Weijie Wu, Xiaohong Liu, Kele Xu, Tianjiao Wan, and Wenyi Wang · 2023
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Videochat: Chat-centric video understanding
KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao · 2023
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Video-chatgpt: Towards detailed video understanding via large vision and language models
Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Shahbaz Khan · 2023
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Video-llama: An instruction-tuned audio-visual language model for video understanding
Hang Zhang, Xin Li, and Lidong Bing · 2023
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Qwen-audio: Advancing universal audio understanding via unified large-scale audio-language models
Yunfei Chu, Jin Xu, Xiaohuan Zhou, Shiliang Yang, Qianand Zhang, Zhijie Yan, Chang Zhou, and Jingren Zhou · 2023
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T2iw: Joint text to image & watermark generation
An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, and Lanjun Wang · 2023
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Watermarking vision-language pre-trained models for multi-modal embedding as a service
Yuanmin Tang, Jing Yu, Keke Gai, Xiangyan Qu, Yue Hu, Gang Xiong, and Qi Wu · 2023
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Detecting and unmasking ai-generated texts through explainable artificial intelligence using stylistic features
Aditya Shah, Prateek Ranka, Urmi Dedhia, Shruti Prasad, Siddhi Muni, and Kiran Bhowmick · 2023
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Stylometric detection of ai-generated text in twitter timelines
Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott Ruston, and Huan Liu · 2023
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Robust multi-bit natural language watermarking through invariant features
KiYoon Yoo, Wonhyuk Ahn, Jiho Jang, and Nojun Kwak · 2023
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Watermarking text generated by black-box language models
Xi Yang, Kejiang Chen, Weiming Zhang, Chang Liu, Yuang Qi, Jie Zhang, Han Fang, and Nenghai Yu · 2023
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Sandra Mitrović, Davide Andreoletti, and Omran Ayoub · 2023
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Learning on gradients: Generalized artifacts representation for gan-generated images detection
Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, and Yunchao Wei · 2023
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Ausome: authenticating social media images using frequency analysis
Nihal Poredi, Deearj Nagothu, and Yu Chen · 2023
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Synthbuster: Towards detection of diffusion model generated images
Quentin Bammey · 2023
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Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, and Luisa Verdoliva · 2023
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Exposing the fake: Effective diffusion-generated images detection
Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, and Kaidi Xu · 2023
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Dire for diffusion-generated image detection
Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, and Houqiang Li · 2023
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Diffusionshield: A watermark for copyright protection against generative diffusion models
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, and Jiliang Tang · 2023
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Dvmark: a deep multiscale framework for video watermarking
Xiyang Luo, Yinxiao Li, Huiwen Chang, Ce Liu, Peyman Milanfar, and Feng Yang · 2023
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A novel deep video watermarking framework with enhanced robustness to h. 264/avc compression
Yulin Zhang, Jiangqun Ni, Wenkang Su, and Xin Liao · 2023
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Dear: A deep-learning-based audio re-recording resilient watermarking
Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, and Nenghai Yu · 2023
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Adversarial audio watermarking: Embedding watermark into deep feature
Shiqiang Wu, Jie Liu, Ying Huang, Hu Guan, and Shuwu Zhang · 2023
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Detecting and grounding multi-modal media manipulation
Rui Shao, Tianxing Wu, and Ziwei Liu · 2023
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Gptzero: Human or ai?
GPTZero · 2023
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How close is chatgpt to human experts? comparison corpus, evaluation, and detection
Deeptextmark: A deep learning-driven text watermarking approach for identifying large language model generated text
Travis Munyer, Abdullah Tanvir, Arjon Das, and Xin Zhong · 2024
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Remark-llm: A robust and efficient watermarking framework for generative large language models
Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, and Farinaz Koushanfar · 2024
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Machine-generated text localization
Zhongping Zhang, Wenda Qin, and Bryan A Plummer · 2024
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Unveiling large language models generated texts: A multi-level fine-grained detection framework
Zhen Tao, Zhiyu Li, Runyu Chen, Dinghao Xi, and Wei Xu · 2024
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Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, and Yupeng Wu · 2023
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Sepmark: Deep separable watermarking for unified source tracing and deepfake detection
Xiaoshuai Wu, Xin Liao, and Bo Ou · 2023
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Youku-mplug: A 10 million large-scale chinese video-language dataset for pre-training and benchmarks
Haiyang Xu, Qinghao Ye, Xuan Wu, Ming Yan, Yuan Miao, Jiabo Ye, Guohai Xu, Anwen Hu, Yaya Shi, Guangwei Xu, et al · 2023
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Musiclm: Generating music from text
Andrea Agostinelli, Timo I Denk, Zalán Borsos, Jesse Engel, Mauro Verzetti, Antoine Caillon, Qingqing Huang, Aren Jansen, Adam Roberts, Marco Tagliasacchi, et al · 2023
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Cyberspace administration of china
European Commission · 2023
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Hello gpt-4o
OpenAI · 2024
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Video generation models as world simulators. 2024
Tim Brooks, Bill Peebles, Connor Holmes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, et al · 2024
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Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, and Yonghong Tian · 2024
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Shadows don’t lie and lines can’t bend! generative models don’t know projective geometry… for now
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, David A Forsyth, and Anand Bhattad · 2024
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A sanity check for ai-generated image detection
Shilin Yan, Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, and Weidi Xie · 2024
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E3: Ensemble of expert embedders for adapting synthetic image detectors to new generators using limited data
Aref Azizpour, Tai D Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, and Matthew C Stamm · 2024
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Aeroblade: Training-free detection of latent diffusion images using autoencoder reconstruction error
Jonas Ricker, Denis Lukovnikov, and Asja Fischer · 2024
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Fire: Robust detection of diffusion-generated images via frequency-guided reconstruction error
Beilin Chu, Xuan Xu, Xin Wang, Yufei Zhang, Weike You, and Linna Zhou · 2024
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Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images
Baoying Chen, Jishen Zeng, Jianquan Yang, and Rui Yang · 2024
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Semgir: Semantic-guided image regeneration based method for ai-generated image detection and attribution
Xiao Yu, Kejiang Chen, Kai Zeng, Han Fang, Zijin Yang, Xiuwei Shang, Yuang Qi, Weiming Zhang, and Nenghai Yu · 2024
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Editguard: Versatile image watermarking for tamper localization and copyright protection
Xuanyu Zhang, Runyi Li, Jiwen Yu, Youmin Xu, Weiqi Li, and Jian Zhang · 2024
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Robust image watermarking using stable diffusion
Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, and Hui Guan · 2024
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Lawa: Using latent space for in-generation image watermarking
Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, and Yong Zhang · 2024
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Wmadapter: Adding watermark control to latent diffusion models
Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, and Mike Zheng Shou · 2024
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Cifake: Image classification and explainable identification of ai-generated synthetic images
Jordan J Bird and Ahmad Lotfi · 2024
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Asap: Interpretable analysis and summarization of ai-generated image patterns at scale
Jinbin Huang, Chen Chen, Aditi Mishra, Bum Chul Kwon, Zhicheng Liu, and Chris Bryan · 2024
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Da-hfnet: Progressive fine-grained forgery image detection and localization based on dual attention
Yang Liu, Xiaofei Li, Jun Zhang, Shengze Hu, and Jun Lei · 2024
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Diffforensics: Leveraging diffusion prior to image forgery detection and localization
Zeqin Yu, Jiangqun Ni, Yuzhen Lin, Haoyi Deng, and Bin Li · 2024
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Changtao Miao, Qi Chu, Tao Gong, Zhentao Tan, Zhenchao Jin, Wanyi Zhuang, Man Luo, Honggang Hu, and Nenghai Yu · 2024
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Language-guided hierarchical fine-grained image forgery detection and localization
Xiao Guo, Xiaohong Liu, Iacopo Masi, and Xiaoming Liu · 2024
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Safire: Segment any forged image region
Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam, Minji Son, and Changick Kim · 2024
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Human action clips: Detecting ai-generated human motion
Matyas Bohacek and Hany Farid · 2024
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Ai-generated video detection via spatio-temporal anomaly learning
Jianfa Bai, Man Lin, and Gang Cao · 2024
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Turns out i’m not real: Towards robust detection of ai-generated videos
Qingyuan Liu, Pengyuan Shi, Yun-Yun Tsai, Chengzhi Mao, and Junfeng Yang · 2024
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Peisong He, Leyao Zhu, Jiaxing Li, Shiqi Wang, and Haoliang Li · 2024
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Zhiyuan Yan, Yandan Zhao, Shen Chen, Xinghe Fu, Taiping Yao, Shouhong Ding, and Li Yuan · 2024
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Distinguish any fake videos: Unleashing the power of large-scale data and motion features
Lichuan Ji, Yingqi Lin, Zhenhua Huang, Yan Han, Xiaogang Xu, Jiafei Wu, Chong Wang, and Zhe Liu · 2024
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Demamba: Ai-generated video detection on million-scale genvideo benchmark
Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, et al · 2024
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Beyond deepfake images: Detecting ai-generated videos
Danial Samadi Vahdati, Tai D Nguyen, Aref Azizpour, and Matthew C Stamm · 2024
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Listening between the lines: Synthetic speech detection disregarding verbal content
Davide Salvi, Temesgen Semu Balcha, Paolo Bestagini, and Stefano Tubaro · 2024
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Proactive detection of voice cloning with localized watermarking
Robin San Roman, Pierre Fernandez, Alexandre Défossez, Teddy Furon, Tuan Tran, and Hady Elsahar · 2024
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Slim: Style-linguistics mismatch model for generalized audio deepfake detection
Yi Zhu, Surya Koppisetti, Trang Tran, and Gaurav Bharaj · 2024
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Audio transformer for synthetic speech detection via multi-formant analysis
Luca Cuccovillo, Milica Gerhardt, and Patrick Aichroth · 2024
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Easy, interpretable, effective: opensmile for voice deepfake detection
Octavian Pascu, Dan Oneata, Horia Cucu, and Nicolas M Müller · 2024
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Harmonet: Partial deepfake detection network based on multi-scale harmof0 feature fusion
Liwei Liu, Huihui Wei, Dongya Liu, and Zhonghua Fu · 2024
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Coarse-to-fine proposal refinement framework for audio temporal forgery detection and localization
Junyan Wu, Wei Lu, Xiangyang Luo, Rui Yang, Qian Wang, and Xiaochun Cao · 2024
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Zero-shot fake video detection by audio-visual consistency
Xiaolou Li, Zehua Liu, Chen Chen, Lantian Li, Li Guo, and Dong Wang · 2024
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Triple-modality interaction for deepfake detection on zero-shot identity
JunHo Yoon, Angel Panizo-LLedot, David Camacho, and Chang Choi · 2024
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Christos Koutlis and Symeon Papadopoulos · 2024
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Contextual cross-modal attention for audio-visual deepfake detection and localization
Vinaya Sree Katamneni and Ajita Rattani · 2024
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Patchcraft: Exploring texture patch for efficient ai-generated image detection
Nan Zhong, Yiran Xu, Sheng Li, Zhenxing Qian, and Xinpeng Zhang · 2024
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C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection
Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, and Yunchao Wei · 2024
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On the correlation between deepfake detection performance and image quality metrics
Hyunjoon Kim, Jaehee Lee, Leo Hyun Park, and Taekyoung Kwon · 2024
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A quality-centric framework for generic deepfake detection
Wentang Song, Zhiyuan Yan, Yuzhen Lin, Taiping Yao, Changsheng Chen, Shen Chen, Yandan Zhao, Shouhong Ding, and Bin Li · 2024
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Safeear: Content privacy-preserving audio deepfake detection
Xinfeng Li, Kai Li, Yifan Zheng, Chen Yan, Xiaoyu Ji, and Wenyuan Xu · 2024
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Fine-grained multimodal deepfake classification via heterogeneous graphs
Qilin Yin, Wei Lu, Xiaochun Cao, Xiangyang Luo, Yicong Zhou, and Jiwu Huang · 2024
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Mage: Machine-generated text detection in the wild
Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, and Yue Zhang · 2024
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Genimage: A million-scale benchmark for detecting ai-generated image
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, and Yunhe Wang · 2024
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Fakebench: Uncover the achilles’ heels of fake images with large multimodal models
Yixuan Li, Xuelin Liu, Xiaoyang Wang, Shiqi Wang, and Weisi Lin · 2024
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Seeing is not always believing: benchmarking human and model perception of ai-generated images
Zeyu Lu, Di Huang, Lei Bai, Jingjing Qu, Chengyue Wu, Xihui Liu, and Wanli Ouyang · 2024
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Sonar: A synthetic ai-audio detection framework and benchmark
Xiang Li, Pin-Yu Chen, and Wenqi Wei · 2024
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Voicewukong: Benchmarking deepfake voice detection
Ziwei Yan, Yanjie Zhao, and Haoyu Wang · 2024
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Luca Comanducci, Paolo Bestagini, and Stefano Tubaro · 2024
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Av-deepfake1m: A large-scale llm-driven audio-visual deepfake dataset
Zhixi Cai, Shreya Ghosh, Aman Pankaj Adatia, Munawar Hayat, Abhinav Dhall, Tom Gedeon, and Kalin Stefanov · 2024
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Salad-bench: A hierarchical and comprehensive safety benchmark for large language models
Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, and Jing Shao · 2024
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Dreambench++: A human-aligned benchmark for personalized image generation
Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, and Shu-Tao Xia · 2024
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Mllm-as-a-judge: Assessing multimodal llm-as-a-judge with vision-language benchmark
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, and Lichao Sun · 2024
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Large language model safety: A holistic survey
Dan Shi, Tianhao Shen, Yufei Huang, Zhigen Li, Yongqi Leng, Renren Jin, Chuang Liu, Xinwei Wu, Zishan Guo, Linhao Yu, et al · 2024
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Taking ai risks seriously: a new assessment model for the ai act
Claudio Novelli, Federico Casolari, Antonino Rotolo, Mariarosaria Taddeo, and Luciano Floridi · 2024
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Ai risk categorization decoded (air 2024): From government regulations to corporate policies
Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, and Bo Li · 2024
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Artificial intelligence act
European Commission · 2024
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Llama-vid: An image is worth 2 tokens in large language models
Yanwei Li, Chengyao Wang, and Jiaya Jia · 2025
Closest in time.
Fake it till you make it: Curricular dynamic forgery augmentations towards general deepfake detection
Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni, Han Chen, and Qiushi Li · 2025
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Digital watermarking technology for ai-generated images: A survey
Huixin Luo, Li Li, and Juncheng Li · 2025
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