content.raw: 🔥🎭🌟 New Research Alert - HeadGAP (Avatars Collection)! 🌟🎭🔥
content.type: text
content.value: 🔥🎭🌟 New Research Alert - HeadGAP (Avatars Collection)! 🌟🎭🔥
content.type: new_line
content.raw: 📄 Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors 🔝
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content.value: 📄 Title: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors 🔝
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content.raw: 📝 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.
content.type: text
content.value: 📝 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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content.raw: 👥 Authors: 
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content.value: 👥 Authors: 
content.raw: @zxz267
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content.user: zxz267
content.raw: , 
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content.value: , 
content.raw: @walsvid
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content.user: walsvid
content.raw: , 
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content.value: , 
content.raw: @zhaohu2
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content.user: zhaohu2
content.raw: , Weiyi Zhang, 
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content.value: , Weiyi Zhang, 
content.raw: @hellozhuo
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content.user: hellozhuo
content.raw: , Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, 
content.type: text
content.value: , Xu Chang, Yang Zhao, Zheng Lv, Xiaoyuan Zhang, 
content.raw: @yongjie-zhang-mail
content.type: mention
content.user: yongjie-zhang-mail
content.raw: , Guidong Wang, and Lan Xu
content.type: text
content.value: , Guidong Wang, and Lan Xu
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content.raw: 📄 Paper: 
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content.value: 📄 Paper: 
content.label: HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors (2408.06019)
content.raw: https://huggingface.co/papers/2408.06019
content.id: 2408.06019
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2408.06019
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content.raw: 🌐 Github Page: 
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content.value: 🌐 Github Page: 
content.href: https://headgap.github.io
content.raw: https://headgap.github.io
content.type: link
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content.raw: 🚀 CVPR-2023-24-Papers: 
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content.value: 🚀 CVPR-2023-24-Papers: 
content.href: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
content.raw: https://github.com/DmitryRyumin/CVPR-2023-24-Papers
content.type: link
content.type: new_line
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content.raw: 🚀 WACV-2024-Papers: 
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content.value: 🚀 WACV-2024-Papers: 
content.href: https://github.com/DmitryRyumin/WACV-2024-Papers
content.raw: https://github.com/DmitryRyumin/WACV-2024-Papers
content.type: link
content.type: new_line
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content.raw: 🚀 ICCV-2023-Papers: 
content.type: text
content.value: 🚀 ICCV-2023-Papers: 
content.href: https://github.com/DmitryRyumin/ICCV-2023-Papers
content.raw: https://github.com/DmitryRyumin/ICCV-2023-Papers
content.type: link
content.type: new_line
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content.raw: 📚 More Papers: more cutting-edge research presented at other conferences in the 
content.type: text
content.value: 📚 More Papers: more cutting-edge research presented at other conferences in the 
content.raw: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
content.id: DmitryRyumin/NewEraAI-Papers
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
content.raw:  curated by 
content.type: text
content.value:  curated by 
content.raw: @DmitryRyumin
content.type: mention
content.user: DmitryRyumin
content.type: new_line
content.type: new_line
content.raw: 🚀 Added to the Avatars Collection: 
content.type: text
content.value: 🚀 Added to the Avatars Collection: 
content.raw: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
content.id: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
content.type: new_line
content.type: new_line
content.raw: 🔍 Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning  #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI
content.type: text
content.value: 🔍 Keywords: #HeadGAP #3DAvatar #FewShotLearning #GaussianPriors #AvatarCreation #3DModeling #MachineLearning  #ComputerVision #ComputerGraphics #GenerativeAI #DeepLearning #AI
rawContent: 🔥🎭🌟 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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