no code implementations • 14 Apr 2024 • Poorvesh Dongre, Majid Behravan, Kunal Gupta, Mark Billinghurst, Denis Gračanin
This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data.
1 code implementation • 5 May 2022 • Noam Aigerman, Kunal Gupta, Vladimir G. Kim, Siddhartha Chaudhuri, Jun Saito, Thibault Groueix
This paper introduces a framework designed to accurately predict piecewise linear mappings of arbitrary meshes via a neural network, enabling training and evaluating over heterogeneous collections of meshes that do not share a triangulation, as well as producing highly detail-preserving maps whose accuracy exceeds current state of the art.
no code implementations • 17 Jan 2022 • Kunal Gupta, Brendan Colvert, Francisco Contijoch
Motion during acquisition of a set of projections can lead to significant motion artifacts in computed tomography reconstructions despite fast acquisition of individual views.
1 code implementation • NeurIPS 2020 • Kunal Gupta, Manmohan Chandraker
Applications like rendering, simulations and 3D printing require meshes to be manifold so that they can interact with the world like the real objects they represent.