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Pose-driven human image animation has achieved tremendous progress, enabling the generation of vivid and realistic human videos from just one single photo.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Image quality metrics: Psnr vs. ssim
Alain Hore and Djemel Ziou · 2010
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2017
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Synthesizing robust adversarial examples
Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2018
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
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Densepose: Dense human pose estimation in the wild
Rıza Alp Güler, Natalia Neverova, and Iasonas Kokkinos · 2018
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd Van Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Yanjun Qi · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Conditional gan with discriminative filter generation for text-to-video synthesis
Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, and Hans Peter Graf · 2019
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Advertorch v0. 1: An adversarial robustness toolbox based on pytorch
Gavin Weiguang Ding, Luyu Wang, and Xiaomeng Jin · 2019
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Hiding faces in plain sight: Disrupting ai face synthesis with adversarial perturbations
Yuezun Li, Xin Yang, Baoyuan Wu, and Siwei Lyu · 2019
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Dwnet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, and Leonid Sigal · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Fawkes: Protecting privacy against unauthorized deep learning models
Shawn Shan, Emily Wenger, Jiayun Zhang, Huiying Li, Haitao Zheng, and Ben Y Zhao · 2020
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Disrupting image-translation-based deepfake algorithms with adversarial attacks
Chin-Yuan Yeh, Hsi-Wen Chen, Shang-Lun Tsai, and Sheng-De Wang · 2020
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Lowkey: Leveraging adversarial attacks to protect social media users from facial recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P Dickerson, Gavin Taylor, and Tom Goldstein · 2021
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Initiative defense against facial manipulation
Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, and Nenghai Yu · 2021
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Learning high fidelity depths of dressed humans by watching social media dance videos
Yasamin Jafarian and Hyun Soo Park · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Motion representations for articulated animation
Aliaksandr Siarohin, Oliver J Woodford, Jian Ren, Menglei Chai, and Sergey Tulyakov · 2021
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sd-vae-ft-mse
Stability AI · 2022
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LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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Stable diffusion image variations
Lambda Labs · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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SDEdit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2022
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Diffusion models for adversarial purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, and Animashree Anandkumar · 2022
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Data poisoning won’t save you from facial recognition
Evani Radiya-Dixit, Sanghyun Hong, Nicholas Carlini, and Florian Tramer · 2022
Improving adversarial attacks on latent diffusion model
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, and Yan Liu · 2023
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Rethinking the invisible protection against unauthorized image usage in stable diffusion
Shengwei An, Lu Yan, Siyuan Cheng, Guangyu Shen, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, and Xiangyu Zhang · 2024
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Ledits++: Limitless image editing using text-to-image models
Manuel Brack, Felix Friedrich, Katharia Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, and Apolinário Passos · 2024
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Impress: evaluating the resilience of imperceptible perturbations against unauthorized data usage in diffusion-based generative ai
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, and Jinghui Chen · 2024
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MagicPose: Realistic human poses and facial expressions retargeting with identity-aware diffusion
Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, and Mohammad Soleymani · 2024
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Cited alongside, same era.
Towards robust blind face restoration with codebook lookup transformer
Shangchen Zhou, Kelvin Chan, Chongyi Li, and Chen Change Loy · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Instructpix2pix: Learning to follow image editing instructions
Tim Brooks, Aleksander Holynski, and Alexei A Efros · 2023
Cited alongside, same era.
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Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, et al · 2024
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Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2024
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Animate anyone: Consistent and controllable image-to-video synthesis for character animation
Li Hu · 2024
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Magicfight: Personalized martial arts combat video generation
Jiancheng Huang, Mingfu Yan, Songyan Chen, Yi Huang, and Shifeng Chen · 2024
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A comprehensive survey on human video generation: Challenges, methods, and insights
Wentao Lei, Jinting Wang, Fengji Ma, Guanjie Huang, and Li Liu · 2024
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Detection and attribution of diffusion model of character animation based on spatio-temporal attention
Fazhong Liu, Yan Meng, Tian Dong, Guoxing Chen, and Haojin Zhu · 2024
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Investigating and defending shortcut learning in personalized diffusion models
Yixin Liu, Ruoxi Chen, and Lichao Sun · 2024
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Metacloak: Preventing unauthorized subject-driven text-to-image diffusion-based synthesis via meta-learning
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, and Lichao Sun · 2024
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Vgmshield: Mitigating misuse of video generative models
Yan Pang, Yang Zhang, and Tianhao Wang · 2024
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Disrupting style mimicry attacks on video imagery
Josephine Passananti, Stanley Wu, Shawn Shan, Haitao Zheng, and Ben Y Zhao · 2024
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Deepfake generation and detection: A benchmark and survey
Gan Pei, Jiangning Zhang, Menghan Hu, Guangtao Zhai, Chengjie Wang, Zhenyu Zhang, Jian Yang, Chunhua Shen, and Dacheng Tao · 2024
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Controlnext: Powerful and efficient control for image and video generation
Bohao Peng, Jian Wang, Yuechen Zhang, Wenbo Li, Ming-Chang Yang, and Jiaya Jia · 2024
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Musepose: a pose-driven image-to-video framework for virtual human generation
Zhengyan Tong, Chao Li, Zhaokang Chen, Bin Wu, and Wenjiang Zhou · 2024
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Vividpose: Advancing stable video diffusion for realistic human image animation
Qilin Wang, Zhengkai Jiang, Chengming Xu, Jiangning Zhang, Yabiao Wang, Xinyi Zhang, Yun Cao, Weijian Cao, Chengjie Wang, and Yanwei Fu · 2024
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Disco: Disentangled control for realistic human dance generation
Tan Wang, Linjie Li, Kevin Lin, Yuanhao Zhai, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, and Lijuan Wang · 2024
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Unianimate: Taming unified video diffusion models for consistent human image animation
Xiang Wang, Shiwei Zhang, Changxin Gao, Jiayu Wang, Xiaoqiang Zhou, Yingya Zhang, Luxin Yan, and Nong Sang · 2024
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Musev: Infinite-length and high fidelity virtual human video generation with visual conditioned parallel denoising
Zhiqiang Xia, Zhaokang Chen, Bin Wu, Chao Li, Kwok-Wai Hung, Chao Zhan, Yingjie He, and Wenjiang Zhou · 2024
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Magicanimate: Temporally consistent human image animation using diffusion model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, and Mike Zheng Shou · 2024
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Toward effective protection against diffusion-based mimicry through score distillation
Haotian Xue, Chumeng Liang, Xiaoyu Wu, and Yongxin Chen · 2024
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Duaw: Data-free universal adversarial watermark against stable diffusion customization
Xiaoyu Ye, Hao Huang, Jiaqi An, and Yongtao Wang · 2024
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Pia: Your personalized image animator via plug-and-play modules in text-to-image models
Yiming Zhang, Zhening Xing, Yanhong Zeng, Youqing Fang, and Kai Chen · 2024
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Mimicmotion: High-quality human motion video generation with confidence-aware pose guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, and Fangyuan Zou · 2024
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Can protective perturbation safeguard personal data from being exploited by stable diffusion?
Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, and Xing Hu · 2024
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Champ: Controllable and consistent human image animation with 3d parametric guidance
Shenhao Zhu, Junming Leo Chen, Zuozhuo Dai, Zilong Dong, Yinghui Xu, Xun Cao, Yao Yao, Hao Zhu, and Siyu Zhu · 2024
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Adversarial perturbations cannot reliably protect artists from generative AI
Robert Hönig, Javier Rando, Nicholas Carlini, and Florian Tramèr · 2025
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