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[HTML][HTML] Deep 3D human pose estimation: A review
Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …
3D joint locations of a human body from an image or video. Due to its widespread …
Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
We show, for the first time, that neural networks trained only on synthetic data achieve state-
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
Human motion diffusion as a generative prior
Y Shafir, G Tevet, R Kapon, AH Bermano - arxiv preprint arxiv:2303.01418, 2023 - arxiv.org
Recent work has demonstrated the significant potential of denoising diffusion models for
generating human motion, including text-to-motion capabilities. However, these methods are …
generating human motion, including text-to-motion capabilities. However, these methods are …
Smpler-x: Scaling up expressive human pose and shape estimation
Expressive human pose and shape estimation (EHPS) unifies body, hands, and face motion
capture with numerous applications. Despite encouraging progress, current state-of-the-art …
capture with numerous applications. Despite encouraging progress, current state-of-the-art …
End-to-end human pose and mesh reconstruction with transformers
We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
Mesh graphormer
We present a graph-convolution-reinforced transformer, named Mesh Graphormer, for 3D
human pose and mesh reconstruction from a single image. Recently both transformers and …
human pose and mesh reconstruction from a single image. Recently both transformers and …
Cross-attention of disentangled modalities for 3d human mesh recovery with transformers
Transformer encoder architectures have recently achieved state-of-the-art results on
monocular 3D human mesh reconstruction, but they require a substantial number of …
monocular 3D human mesh reconstruction, but they require a substantial number of …
Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation
Abstract Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for
the human body by estimating several parameters. However, learning the abstract …
the human body by estimating several parameters. However, learning the abstract …
Vibe: Video inference for human body pose and shape estimation
M Kocabas, N Athanasiou… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Human motion is fundamental to understanding behavior. Despite progress on single-image
3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce …
3D pose and shape estimation, existing video-based state-of-the-art methods fail to produce …