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🕺🎬🔥 New Research Alert - CVPR 2024 (Avatars Collection)! 🔥🤖⚡
🕺🎬🔥 New Research Alert - CVPR 2024 (Avatars Collection)! 🔥🤖⚡
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📄 Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
📄 Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
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📝 Description: GoMAvatar is an efficient method for real-time, high-quality, animatable human modeling from a single monocular video. It combines the rendering quality of Gaussian splatting with the geometry modeling capabilities of deformable meshes, enabling realistic digital avatars that can be rearticulated in new poses and rendered from novel angles, while seamlessly integrating with graphics pipelines.
📝 Description: GoMAvatar is an efficient method for real-time, high-quality, animatable human modeling from a single monocular video. It combines the rendering quality of Gaussian splatting with the geometry modeling capabilities of deformable meshes, enabling realistic digital avatars that can be rearticulated in new poses and rendered from novel angles, while seamlessly integrating with graphics pipelines.
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👥 Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
👥 Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
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📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
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🔗 Paper: 
🔗 Paper: 
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https://huggingface.co/papers/2404.07991
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2404.07991
https://huggingface.co/papers/2404.07991
GoMAvatar: Efficient Animatable Human Modeling from Monocular Video
  Using Gaussians-on-Mesh (2404.07991)
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🌐 Github Page: 
🌐 Github Page: 
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https://wenj.github.io/GoMAvatar/
https://wenj.github.io/GoMAvatar/
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📁 Repository: 
📁 Repository: 
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https://github.com/wenj/GoMAvatar
https://github.com/wenj/GoMAvatar
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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
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DmitryRyumin/NewEraAI-Papers
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
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 curated by 
 curated by 
mention
@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: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
🔍 Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
🕺🎬🔥 New Research Alert - CVPR 2024 (Avatars Collection)! 🔥🤖⚡
📄 Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh

📝 Description: GoMAvatar is an efficient method for real-time, high-quality, animatable human modeling from a single monocular video. It combines the rendering quality of Gaussian splatting with the geometry modeling capabilities of deformable meshes, enabling realistic digital avatars that can be rearticulated in new poses and rendered from novel angles, while seamlessly integrating with graphics pipelines.

👥 Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang

📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸

🔗 Paper: https://huggingface.co/papers/2404.07991

🌐 Github Page: https://wenj.github.io/GoMAvatar/
📁 Repository: https://github.com/wenj/GoMAvatar

📚 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: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
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