We present a novel approach that directly regresses the 3D coordinates of the mesh vertices and body joints with a spatial–temporal Transformer.

Vertex position estimation with spatial–temporal transformer for 3D human reconstruction. Xiangjun Zhang, Yinglin Zheng, Wenjin Deng, Qifeng Dai, Yuxin Lin, ...

Vertex position estimation with spatial–temporal transformer for 3D human reconstruction. https://doi.org/10.1016/j.gmod.2023.101207. Journal: Graphical ...

Human pose estimation (HPE) aims to localize joints and build a body representation (e.g. skeleton position) from in- put data such as images and videos. HPE ...

Missing: Vertex position reconstruction.

Human pose estimation (HPE) aims to localize joints and build a body representation (e.g. skeleton position) from input data such as images and videos. HPE ...

Sep 6, 2022 · Spatial and temporal information and multi-view mutual promotion are two keys to solve depth uncertainty for 2D-to-3D Human pose estimation.

... The objective of human pose estimation is to automatically locate the 3D positions of human body parts, e.g., neck, and head, from an image or a ...

Representation learning of vertex heatmaps for 3D human mesh reconstruction ... HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation.

We propose an efficient framework for 3D human pose and shape estimation from a video, named Uncertainty-. Guided SpatioTemporal Transformer (UNSPAT).