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DmitryRyuminΒ 
posted an update Apr 7
Post
2532
πŸš€πŸ•ΊπŸŒŸ New Research Alert - CVPR 2024 (Avatars Collection)! πŸŒŸπŸ’ƒπŸš€
πŸ“„ Title: 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting πŸ”

πŸ“ Description: 3DGS-Avatar is a novel method for creating animatable human avatars from monocular videos using 3D Gaussian Splatting (3DGS). By using a non-rigid deformation network and as-isometric-as-possible regularizations, the method achieves comparable or better performance than SOTA methods while being 400x faster in training and 250x faster in inference, allowing real-time rendering at 50+ FPS.

πŸ‘₯ Authors: Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang

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

πŸ”— Paper: 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting (2312.09228)

🌐 Github Page: https://neuralbodies.github.io/3DGS-Avatar/
πŸ“ Repository: https://github.com/mikeqzy/3dgs-avatar-release

πŸ“Ί Video: https://www.youtube.com/watch?v=FJ29U9OkmmU

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: #3DGSAvatar #3DAvatar #3DGaussianSplatting #AnimatableAvatars #MonocularVideo #RealTimeRendering #FastTraining #EfficientInference #CVPR2024 #DeepLearning #Innovation
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