Search Results for author: Sai Sagar Jinka

Found 5 papers, 1 papers with code

xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image

no code implementations27 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).

Garment Reconstruction

SHARP: Shape-Aware Reconstruction of People in Loose Clothing

no code implementations24 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.

Reconstruction of People in Loose Clothing

no code implementations9 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.

PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction

1 code implementation16 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.

3D Reconstruction

Deep Textured 3D Reconstruction of Human Bodies

no code implementations18 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.

3D Reconstruction

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