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🔥🎭🌟 New Research Alert - HeadGAP (Avatars Collection)! 🌟🎭🔥
🔥🎭🌟 New Research Alert - HeadGAP (Avatars Collection)! 🌟🎭🔥
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📄 Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors 🔝
📄 Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors 🔝
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📝 Description: HeadGAP introduces a novel method for generating high-fidelity, animatable 3D head avatars from few-shot data, using Gaussian priors and dynamic part-based modelling for personalized and generalizable results.
📝 Description: HeadGAP introduces a novel method for generating high-fidelity, animatable 3D head avatars from few-shot data, using Gaussian priors and dynamic part-based modelling for personalized and generalizable results.
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👥 Authors: 
👥 Authors: 
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@zxz267
zxz267
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, 
, 
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@walsvid
walsvid
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, 
, 
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@zhaohu2
zhaohu2
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, Weiyi Zhang, 
, Weiyi Zhang, 
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@hellozhuo
hellozhuo
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, Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, 
, Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, 
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@yongjie-zhang-mail
yongjie-zhang-mail
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, Guidong Wang, and Lan Xu
, Guidong Wang, and Lan Xu
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📄 Paper: 
📄 Paper: 
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https://huggingface.co/papers/2408.06019
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2408.06019
https://huggingface.co/papers/2408.06019
HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors (2408.06019)
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🌐 Github Page: 
🌐 Github Page: 
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https://headgap.github.io
https://headgap.github.io
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🚀 CVPR-2023-24-Papers: 
🚀 CVPR-2023-24-Papers: 
link
https://github.com/DmitryRyumin/CVPR-2023-24-Papers
https://github.com/DmitryRyumin/CVPR-2023-24-Papers
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🚀 WACV-2024-Papers: 
🚀 WACV-2024-Papers: 
link
https://github.com/DmitryRyumin/WACV-2024-Papers
https://github.com/DmitryRyumin/WACV-2024-Papers
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🚀 ICCV-2023-Papers: 
🚀 ICCV-2023-Papers: 
link
https://github.com/DmitryRyumin/ICCV-2023-Papers
https://github.com/DmitryRyumin/ICCV-2023-Papers
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📚 More Papers: more cutting-edge research presented at other conferences in the 
📚 More Papers: more cutting-edge research presented at other conferences in the 
resource
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
space
DmitryRyumin/NewEraAI-Papers
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
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 curated by 
 curated by 
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@DmitryRyumin
DmitryRyumin
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🚀 Added to the Avatars Collection: 
🚀 Added to the Avatars Collection: 
resource
https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
collection
DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
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🔍 Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning  #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI
🔍 Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning  #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI
🔥🎭🌟 New Research Alert - HeadGAP (Avatars Collection)! 🌟🎭🔥
📄 Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors 🔝

📝 Description: HeadGAP introduces a novel method for generating high-fidelity, animatable 3D head avatars from few-shot data, using Gaussian priors and dynamic part-based modelling for personalized and generalizable results.

👥 Authors: @zxz267, @walsvid, @zhaohu2, Weiyi Zhang, @hellozhuo, Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, @yongjie-zhang-mail, Guidong Wang, and Lan Xu

📄 Paper: https://huggingface.co/papers/2408.06019

🌐 Github Page: https://headgap.github.io

🚀 CVPR-2023-24-Papers: https://github.com/DmitryRyumin/CVPR-2023-24-Papers

🚀 WACV-2024-Papers: https://github.com/DmitryRyumin/WACV-2024-Papers

🚀 ICCV-2023-Papers: https://github.com/DmitryRyumin/ICCV-2023-Papers

📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

🚀 Added to the Avatars Collection: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

🔍 Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning  #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI
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