Graphic representing 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 effectiven

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 effectiven


https://arxiv.org/pdf/1909.00938

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
Added on: 2/21/2025
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