This paper presents a novel approach for generating high-quality 3D human poses from 2D keypoints using a deep neural network
This paper presents a novel approach for generating high-quality 3D human poses from 2D keypoints using a deep neural network. The proposed method outperforms existing state-of-the-art techniques on several benchmark datasets, demonstrating its effectiveness in reconstructing accurate 3D human poses from 2D inputs.
Last Modified: | 2/21/2025 |
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Added on: | 2/21/2025 |