Post
2299
πΊπ¬π₯ New Research Alert - CVPR 2024 (Avatars Collection)! π₯π€β‘
π Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
π 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.
π₯ Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
π Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πΊπΈ
π Paper: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh (2404.07991)
π Github Page: https://wenj.github.io/GoMAvatar/
π Repository: https://github.com/wenj/GoMAvatar
π More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
π Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation
π Title: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh
π 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.
π₯ Authors: Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, Shenlong Wang
π Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA πΊπΈ
π Paper: GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh (2404.07991)
π Github Page: https://wenj.github.io/GoMAvatar/
π Repository: https://github.com/wenj/GoMAvatar
π More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
π Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
π Keywords: #GoMAvatar #3DAvatar #3DAnimation #AnimatableAvatars #MonocularVideo #RealTimeRendering #HumanModeling #CVPR2024 #DeepLearning #Innovation