3D hand shape and pose from images in the wild
We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild. Our network consists of the concatenation of a deep convolutional encoder, and a fixed model-based decoder. Given an input image, and optionally 2D joint det...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2020
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