Shypd.aiThe largest open index of AI toolsPoseFormer is an open-source 3D Human Pose Estimation tool that implements spatial and temporal transformers. It provides code for researchers to replicate and build upon the ICCV 2021 paper, offering pre-trained models and training capabilities.
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PoseFormer is an open-source project that provides an official implementation of the paper "3D Human Pose Estimation with Spatial and Temporal Transformers," accepted at ICCV 2021. This tool is designed for researchers and developers working in the field of computer vision and human pose estimation. It offers code built on VideoPose3D, allowing users to evaluate pre-trained models with both CPN detected and ground truth 2D poses as input. Additionally, PoseFormer supports training new models from scratch, with configurable frame inputs to achieve varying levels of accuracy. The repository also links to related works like Context-Aware PoseFormer (NeurIPS 2023) and PoseFormerV2 (CVPR 2023), indicating ongoing research and development in this area.
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