content.raw: 🕺🎬🔥 New Research Alert - CVPR 2024 (Avatars Collection)! 🔥🤖⚡
content.type: text
content.value: 🕺🎬🔥 New Research Alert - CVPR 2024 (Avatars Collection)! 🔥🤖⚡
content.type: new_line
content.raw: 📄 Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
content.type: text
content.value: 📄 Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
content.type: new_line
content.type: new_line
content.raw: 📝 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.
content.type: text
content.value: 📝 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.
content.type: new_line
content.type: new_line
content.raw: 👥 Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
content.type: text
content.value: 👥 Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
content.type: new_line
content.type: new_line
content.raw: 📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
content.type: text
content.value: 📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
content.type: new_line
content.type: new_line
content.raw: 🔗 Paper: 
content.type: text
content.value: 🔗 Paper: 
content.label: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video
    Using Gaussians-on-Mesh (2404.07991)
content.raw: https://huggingface.co/papers/2404.07991
content.id: 2404.07991
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2404.07991
content.type: new_line
content.type: new_line
content.raw: 🌐 Github Page: 
content.type: text
content.value: 🌐 Github Page: 
content.href: https://wenj.github.io/GoMAvatar/
content.raw: https://wenj.github.io/GoMAvatar/
content.type: link
content.type: new_line
content.raw: 📁 Repository: 
content.type: text
content.value: 📁 Repository: 
content.href: https://github.com/wenj/GoMAvatar
content.raw: https://github.com/wenj/GoMAvatar
content.type: link
content.type: new_line
content.type: new_line
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
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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
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content.raw: 🔍 Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
content.type: text
content.value: 🔍 Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
rawContent: 🕺🎬🔥 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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