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Multimodal One-shot Head Avatars šŸ”\n\nšŸ“ Description: EMOPortraits is an enhanced multimodal one-shot head avatar model that achieves SOTA performance in emotion transfer and audio-driven facial animation tasks by improving the training pipeline and architecture to better handle intense and asymmetric facial expressions, while also proposing a novel multiview video dataset containing a wide range of such expressions.\n\nšŸ‘„ Authors: Nikita Drobyshev, Antoni Bigata Casademunt, Konstantinos Vougioukas, Zoe Landgraf, Stavros Petridis, and Maja Pantic\n\nšŸ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA šŸ‡ŗšŸ‡ø\n\nšŸ“„ Paper: https://huggingface.co/papers/2404.19110\n\nšŸŒ GitHub Page: https://neeek2303.github.io/EMOPortraits\n\nšŸ“š More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin\n\nšŸš€ Added to the Avatars Collection: 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Dmitry Ryumin

DmitryRyumin

AI & ML interests

Machine Learning and Applications, Multi-Modal Understanding

Organizations

Posts 43

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939
šŸš€šŸŽ­šŸŒŸ New Research Alert - SIGGRAPH 2024 (Avatars Collection)! šŸŒŸšŸŽ­šŸš€
šŸ“„ Title: 3D Gaussian Blendshapes for Head Avatar Animation šŸ”

šŸ“ Description: 3D Gaussian Blendshapes for Head Avatar Animation is a novel method for modeling and animating photorealistic head avatars from monocular video input.

šŸ‘„ Authors: Shengjie Ma, Yanlin Weng, Tianjia Shao, and Kun Zhou

šŸ“… Conference: SIGGRAPH, 28 Jul ā€“ 1 Aug, 2024 | Denver CO, USA šŸ‡ŗšŸ‡ø

šŸ“„ Paper: 3D Gaussian Blendshapes for Head Avatar Animation (2404.19398)

šŸŒ Github Page: https://gapszju.github.io/GaussianBlendshape/

šŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

šŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

šŸ” Keywords: #3DAnimation #HeadAvatar #GaussianBlendshapes #FacialAnimation #RealTimeRendering #SIGGRAPH2024 #ComputerGraphics #DeepLearning #ComputerVision #Innovation
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994
šŸš€šŸŽ­šŸŒŸ New Research Alert - CVPR 2024 (Avatars Collection)! šŸŒŸšŸŽ­šŸš€
šŸ“„ Title: EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars šŸ”

šŸ“ Description: EMOPortraits is an enhanced multimodal one-shot head avatar model that achieves SOTA performance in emotion transfer and audio-driven facial animation tasks by improving the training pipeline and architecture to better handle intense and asymmetric facial expressions, while also proposing a novel multiview video dataset containing a wide range of such expressions.

šŸ‘„ Authors: Nikita Drobyshev, Antoni Bigata Casademunt, Konstantinos Vougioukas, Zoe Landgraf, Stavros Petridis, and Maja Pantic

šŸ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA šŸ‡ŗšŸ‡ø

šŸ“„ Paper: EMOPortraits: Emotion-enhanced Multimodal One-shot Head Avatars (2404.19110)

šŸŒ GitHub Page: https://neeek2303.github.io/EMOPortraits

šŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

šŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

šŸ” Keywords: #EMOPortraits #EmotionalTransfer #FacialAnimation #HeadAvatar #MultimodalLearning #OneShotLearning #AsymmetricFacialExpressions #IntenseFacialExpressions #NovelDataset #CVPR2024 #DeepLearning #ComputerVision #Innovation

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