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DmitryRyuminΒ 
posted an update Mar 15
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πŸš€πŸ’ƒπŸ»πŸŒŸ New Research Alert - CVPR 2024! πŸŒŸπŸ•Ί πŸš€
πŸ“„ Title: Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling πŸŒŸπŸš€

πŸ“ 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.

πŸ‘₯ Authors: Zhe Li, Zerong Zheng, Lizhen Wang, and Yebin Liu

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

πŸ”— Paper: Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling (2311.16096)

🌐 Github Page: https://animatable-gaussians.github.io
πŸ“ Repository: https://github.com/lizhe00/AnimatableGaussians

πŸ“Ί Video: https://www.youtube.com/watch?v=kOmZxD0HxZI

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: #AnimatableGaussians #HumanAvatars #3DGaussianSplatting #CVPR2024 #DeepLearning #Animation #Innovation
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