This paper presents a novel framework to estimate parametric model- s for 3D clothed humans from partial point clouds. It is a challenging problem due to ...

This paper presents a novel framework to estimate parametric model- s for 3D clothed humans from partial point clouds. It is a challenging problem due to ...

This paper presents a novel framework to estimate parametric model- s for 3D clothed humans from partial point clouds.

We propose an approach that estimates naked human 3D pose and shape, including non-skeletal shape information such as musculature and fat distribution, from a ...

In this work we present an approach that combines detail-rich implicit functions with parametric modelling in order to reconstruct 3D models of people that ...

May 30, 2023 · PointHuman combines the spatial feature of the parametric model of the human body with the implicit functions without expressive restrictions.

In this work, we propose a novel clothed human reconstruction method called GaussianBody, based on 3D Gaussian Splatting.

SMPL estimation is performed on the image to obtain the parametric model, and the parametric model is transformed into a point cloud. 3D Spatial Encoder ...

Sep 25, 2024 · Point cloud diffusion refines the distribution of 3D points fitted to both the multi-hypothesis shape condition and pixel-aligned image features ...

This method further improves the estimation accuracy of the parametric model and finally improves the effectiveness of human reconstruction. Our method achieves ...