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 …
Recovering 3d human mesh from monocular images: A survey
Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …
computer vision. Since the release of statistical body models, 3D human mesh recovery has …
Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors
Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …
graphics. Although high-quality results can be achieved using sophisticated off-line systems …
Pymaf-x: Towards well-aligned full-body model regression from monocular images
We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …
model from a single image. This task is very challenging since minor parametric deviation …
Sherf: Generalizable human nerf from a single image
Abstract Existing Human NeRF methods for reconstructing 3D humans typically rely on
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
SCANimate: Weakly supervised learning of skinned clothed avatar networks
We present SCANimate, an end-to-end trainable framework that takes raw 3D scans of a
clothed human and turns them into an animatable avatar. These avatars are driven by pose …
clothed human and turns them into an animatable avatar. These avatars are driven by pose …