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Existing deep learning-based human mesh reconstruction approaches have a tendency to build larger networks in order to achieve higher accuracy.
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STAR: A Spare Trained Articulated Human Body Regressor. In ECCV
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Deformable detr: Deformable transformers for end-to-end object detection
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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EfficientHRNet: efficient and scalable high-resolution networks for real-time multi-person 2D human pose estimation
Christopher Neff, Aneri Sheth, Steven Furgurson, John Middleton, and Hamed Tabkhi. 2021 · 2021
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Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, and Yanzhi Wang. 2021 · 2021
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Lite-HRNet: A Lightweight High-Resolution Network. In CVPR
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PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop. In Proceedings of the IEEE International Conference on Computer Vision
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GraFormer: Graph Convolution Transformer for 3D Pose Estimation
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Modulated Graph Convolutional Network for 3D Human Pose Estimation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 11477–11487
Zhiming Zou and Wei Tang. 2021 · 2021
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