no code implementations • 26 Mar 2024 • Astitva Srivastava, Pranav Manu, Amit Raj, Varun Jampani, Avinash Sharma
We achieve this by first learning a latent representation of 3D garments using a novel coarse-to-fine training strategy and a loss for latent disentanglement, promoting better latent interpolation.
no code implementations • 6 Jan 2024 • Shanthika Naik, Kunwar Singh, Astitva Srivastava, Dhawal Sirikonda, Amit Raj, Varun Jampani, Avinash Sharma
We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON).
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 • 30 Nov 2021 • Sahib Majithia, Sandeep N. Parameswaran, Sadbhavana Babar, Vikram Garg, Astitva Srivastava, Avinash Sharma
Subsequently, we use these landmarks to perform Thin-Plate-Spline-based texture transfer on UV map panels.
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.