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DmitryRyuminΒ 
posted an update Apr 12
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πŸ•ΊπŸŽ¬πŸ”₯ New Research Alert - CVPR 2024 (Avatars Collection)! πŸ”₯πŸ€–βš‘
πŸ“„ Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh

πŸ“ 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.

πŸ‘₯ Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang

πŸ“… Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πŸ‡ΊπŸ‡Έ

πŸ”— Paper: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh (2404.07991)

🌐 Github Page: https://wenj.github.io/GoMAvatar/
πŸ“ Repository: https://github.com/wenj/GoMAvatar

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

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

πŸ” Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
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