Scene Contact

Scene contact, the study of how humans physically interact with their environment, aims to understand and model these interactions computationally. Current research focuses on accurately inferring dense, 3D human-scene contact from single images, employing techniques like body-part and scene-context driven attention mechanisms within deep neural networks, including transformers and convolutional neural networks. This work leverages newly created datasets with detailed 3D body and scene annotations to train these models, improving the realism and physical plausibility of human-computer interaction and digital human animation. The resulting advancements have significant implications for fields like robotics, virtual reality, and computer graphics, enabling more realistic and natural human-computer interactions.