Korrawe Karunratanakul

Papers

Total Citations

202

H-Index

About

Korrawe Karunratanakul is a researcher working at the intersection of computer vision, computer graphics, and human-computer interaction, with a particular focus on realistic synthesis and understanding of human hand-object interactions. His most recognized contribution, "Grasping Field: Learning Implicit Representations for Human Grasps" (2020), has garnered over 190 citations and represents a significant advancement in the field of human grasp synthesis. This work addresses one of the fundamental challenges in both robotics and graphics: generating realistic human grasps that respect the complex, high-degree-of-freedom nature of the human hand while ensuring physical plausibility and natural contact with objects. By leveraging implicit neural representations, Karunratanakul and his collaborators introduced a novel framework that moves beyond traditional explicit mesh-based approaches, enabling more flexible and realistic modeling of hand-object interactions. This contribution has had a meaningful impact on downstream research in areas such as virtual reality, animation, and robotic manipulation planning. His work exemplifies the growing importance of learned implicit representations in tackling long-standing problems in human motion and interaction synthesis, making him a noteworthy emerging voice in this rapidly evolving research domain.