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This work presents FaceX framework, a novel facial generalist model capable of handling diverse facial tasks simultaneously.
Probabilistic linear discriminant analysis
Sergey Ioffe · 2006
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Probabilistic models for inference about identity
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, and James Elder · 2011
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Voxceleb: a large-scale speaker identification dataset
Arsha Nagrani, Joon Son Chung, and Andrew Zisserman · 2017
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Simswap: An efficient framework for high fidelity face swapping
Renwang Chen, Xuanhong Chen, Bingbing Ni, and Yanhao Ge · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Realistic face reenactment via self-supervised disentangling of identity and pose
Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, and Yong Liu · 2020
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Apb2face: Audio-guided face reenactment with auxiliary pose and blink signals
Jiangning Zhang, Liang Liu, Zhucun Xue, and Yong Liu · 2020
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Sean: Image synthesis with semantic region-adaptive normalization
Peihao Zhu, Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Learning an animatable detailed 3d face model from in-the-wild images
Yao Feng, Haiwen Feng, Michael J Black, and Timo Bolkart · 2021
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Faceinpainter: High fidelity face adaptation to heterogeneous domains
Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, and Ran He · 2021
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Blendgan: Implicitly gan blending for arbitrary stylized face generation
Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, and Wen Zheng · 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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Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
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Hififace: 3d shape and semantic prior guided high fidelity face swapping
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, and Rongrong Ji · 2021
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Stylegan-nada: Clip-guided domain adaptation of image generators
Rinon Gal, Or Patashnik, Haggai Maron, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
Composer: Creative and controllable image synthesis with composable conditions
Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, and Jingren Zhou · 2023
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Humansd: A native skeleton-guided diffusion model for human image generation
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, and Qiang Xu · 2023
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Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, and Yong Jae Lee · 2023
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Fine-grained face swapping via regional gan inversion
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 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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Styleface: Towards identity-disentangled face generation on megapixels
Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, and Junchi Yan · 2022
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Fsganv2: Improved subject agnostic face swapping and reenactment
Yuval Nirkin, Yosi Keller, and Tal Hassner · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Few-shot head swapping in the wild
Changyong Shu, Hemao Wu, Hang Zhou, Jiaming Liu, Zhibin Hong, Changxing Ding, Junyu Han, Jingtuo Liu, Errui Ding, and Jingdong Wang · 2022
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Structure-aware motion transfer with deformable anchor model
Jiale Tao, Biao Wang, Borun Xu, Tiezheng Ge, Yuning Jiang, Wen Li, and Lixin Duan · 2022
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Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Difftalk: Crafting diffusion models for generalized audio-driven portraits animation
Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, and Jiwen Lu · 2023
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Llama: Open and efficient foundation language models
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Face0: Instantaneously conditioning a text-to-image model on a face
Dani Valevski, Danny Wasserman, Yossi Matias, and Yaniv Leviathan · 2023
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Hs-diffusion: Semantic-mixing diffusion for head swapping
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Towards open vocabulary learning: A survey
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, and Dacheng Tao · 2023
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High-fidelity generalized emotional talking face generation with multi-modal emotion space learning
Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, and Yong Liu · 2023
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Face animation with an attribute-guided diffusion model
Bohan Zeng, Xuhui Liu, Sicheng Gao, Boyu Liu, Hong Li, Jianzhuang Liu, and Baochang Zhang · 2023
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Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion
Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, and Jiwen Lu · 2023
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Layoutdiffusion: Controllable diffusion model for layout-to-image generation
Guangcong Zheng, Xianpan Zhou, Xuewei Li, Zhongang Qi, Ying Shan, and Xi Li · 2023
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