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Tim Felder
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🚀💃🏻🌟 New Research Alert - CVPR 2024! 🌟🕺 🚀
📄 Title: Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling 🌟🚀
📝 Description: Animatable Gaussians - a novel method for creating lifelike human avatars from RGB videos, utilizing 2D CNNs and 3D Gaussian splatting to capture pose-dependent garment details and dynamic appearances with high fidelity.
👥 Authors: Zhe Li, Zerong Zheng, Lizhen Wang, and Yebin Liu
📅 Conference: CVPR, Jun 17-21, 2024 | Seattle WA, USA 🇺🇸
🔗 Paper: https://huggingface.co/papers/2311.16096
🌐 Github Page: https://animatable-gaussians.github.io
📁 Repository: https://github.com/lizhe00/AnimatableGaussians
📺 Video: https://www.youtube.com/watch?v=kOmZxD0HxZI
📚 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: #AnimatableGaussians #HumanAvatars #3DGaussianSplatting #CVPR2024 #DeepLearning #Animation #Innovation
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