Shypd.aiThe largest open index of AI toolsAnimatable_nerf is a research tool providing code for creating realistic avatars from videos using animatable implicit neural representations. It implements Animatable Neural Fields and includes datasets like Mobile-Stage and SyntheticHuman++.
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Animatable_nerf is an open-source research tool that provides the implementation for "Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos," a paper accepted to TPAMI 2024 and ICCV 2021. This tool allows researchers to generate realistic avatars from video footage by leveraging animatable neural fields. It supports various configurations, including vanilla Animatable NeRF, versions with neural blend weight fields replaced by displacement fields, and versions where the canonical NeRF model is replaced with a neural surface field (SDF output). The repository includes evaluation frameworks for reconstruction quality comparison and provides access to datasets like Mobile-Stage and SyntheticHuman++ for further research and development in neural rendering and 3D human body modeling.
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