TY - GEN
T1 - Generative Terrain Authoring with Mid-air Hand Sketching in Virtual Reality
AU - Hu, Yushen
AU - Wang, Keru
AU - Shao, Yuli
AU - Plass, Jan
AU - Wang, Zhu
AU - Perlin, Ken
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/10/9
Y1 - 2024/10/9
N2 - Terrain generation and authoring in Virtual Reality (VR) offers unique benefits, including 360-degree views, improved spatial perception, immersive and intuitive design experience and natural input modalities. Yet even in VR it can be challenging to integrate natural input modalities, preserve artistic controls and lower the effort of landscape prototyping. To tackle these challenges, we present our VR-based terrain generation and authoring system, which utilizes hand tracking and a generative model to allow users to quickly prototype natural landscapes, such as mountains, mesas, canyons and volcanoes. Via positional hand tracking and hand gesture detection, users can use their hands to draw mid-air strokes to indicate desired shapes for the landscapes. A Conditional Generative Adversarial Network trained by using real-world terrains and their height maps then helps to generate a realistic landscape which combines features of training data and the mid-air strokes. In addition, users can use their hands to further manipulate their mid-air strokes to edit the landscapes. In this paper, we explore this design space and present various scenarios of terrain generation. Additionally, we evaluate our system across a diverse user base that varies in VR experience and professional background. The study results indicate that our system is feasible, user-friendly and capable of fast prototyping.
AB - Terrain generation and authoring in Virtual Reality (VR) offers unique benefits, including 360-degree views, improved spatial perception, immersive and intuitive design experience and natural input modalities. Yet even in VR it can be challenging to integrate natural input modalities, preserve artistic controls and lower the effort of landscape prototyping. To tackle these challenges, we present our VR-based terrain generation and authoring system, which utilizes hand tracking and a generative model to allow users to quickly prototype natural landscapes, such as mountains, mesas, canyons and volcanoes. Via positional hand tracking and hand gesture detection, users can use their hands to draw mid-air strokes to indicate desired shapes for the landscapes. A Conditional Generative Adversarial Network trained by using real-world terrains and their height maps then helps to generate a realistic landscape which combines features of training data and the mid-air strokes. In addition, users can use their hands to further manipulate their mid-air strokes to edit the landscapes. In this paper, we explore this design space and present various scenarios of terrain generation. Additionally, we evaluate our system across a diverse user base that varies in VR experience and professional background. The study results indicate that our system is feasible, user-friendly and capable of fast prototyping.
KW - Generative Terrain Authoring
KW - Hand Gesture Control
KW - Hand Sketching
KW - Virtual Reality
UR - http://www.scopus.com/inward/record.url?scp=85212512792&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85212512792&partnerID=8YFLogxK
U2 - 10.1145/3641825.3687736
DO - 10.1145/3641825.3687736
M3 - Conference contribution
AN - SCOPUS:85212512792
T3 - Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
BT - Proceedings
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery
T2 - 30th ACM Symposium on Virtual Reality Software and Technology, VRST 2024
Y2 - 9 October 2024 through 11 October 2024
ER -