Shypd.aiThe largest open index of AI toolsI2L-MeshNet_RELEASE is an open-source PyTorch implementation for accurate 3D human pose and mesh estimation from a single RGB image. It leverages an Image-to-Lixel Prediction Network for detailed results.
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I2L-MeshNet_RELEASE is the official PyTorch implementation of the I2L-MeshNet architecture, designed for accurate 3D human pose and mesh estimation from a single RGB image. This open-source project, recognized at ECCV 2020, won first and second place in the 3DPW challenge for part orientation and joint position metrics. The tool provides both lixel-based 1D heatmap predictions for mesh vertices and regressed SMPL parameters. It supports training and testing across various datasets like Human3.6M, MuCo, MSCOCO, 3DPW, and FreiHAND, making it a robust solution for researchers and developers in computer vision focused on human body reconstruction.
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