5 papers
DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
Navami Kairanda, Shanthika Naik, Marc Habermann +3
We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal n…
NGD: Neural Gradient Based Deformation for Monocular Garment Reconstruction
Soham Dasgupta, Shanthika Naik, Preet Savalia +2
Dynamic garment reconstruction from monocular video is an important yet challenging task due to the complex dynamics and unconstrained nature of the garments. Recent advancements i…
Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields
Navami Kairanda, Marc Habermann, Shanthika Naik +2
3D reconstruction of highly deformable surfaces (e.g. cloths) from monocular RGB videos is a challenging problem, and no solution provides a consistent and accurate recovery of fin…
Dress-Me-Up: A Dataset & Method for Self-Supervised 3D Garment Retargeting
Shanthika Naik, Kunwar Singh, Astitva Srivastava +4
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). E…
Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation
Shanthika Naik, Aryamaan Jain, Avinash Sharma +1
Automated generation and (user) authoring of the realistic virtual terrain is most sought for by the multimedia applications like VR models and gaming. The most common representati…