no code implementations • 27 Aug 2022 • Astitva Srivastava, Chandradeep Pokhariya, Sai Sagar Jinka, Avinash Sharma
Existing approaches for 3D garment reconstruction either assume a predefined template for the garment geometry (restricting them to fixed clothing styles) or yield vertex colored meshes (lacking high-frequency textural details).
no code implementations • 24 May 2022 • Sai Sagar Jinka, Astitva Srivastava, Chandradeep Pokhariya, Avinash Sharma, P. J. Narayanan
The parametric body prior enforces geometrical consistency on the body shape and pose, while the non-parametric representation models loose clothing and handle self-occlusions as well.
no code implementations • 9 Jun 2021 • Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava, Avinash Sharma, P. J. Narayanan
3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains.
1 code implementation • 16 Feb 2020 • Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan
We introduce PeeledHuman - a novel shape representation of the human body that is robust to self-occlusions.
no code implementations • 18 Sep 2018 • Abbhinav Venkat, Sai Sagar Jinka, Avinash Sharma
In this paper, we propose a deep learning based solution for textured 3D reconstruction of human body shapes from a single view RGB image.