Cited By
View all- Wang JWang JLi HHuang XXia JLi ZWu WSheng B(2025)Temporal goal-aware transformer assisted visual reinforcement learning for virtual table tennis agentThe Visual Computer10.1007/s00371-025-03822-yOnline publication date: 13-Feb-2025
The ability to interactively edit human motion data is essential for character animation. We present a novel motion editing technique that allows the user to manipulate synchronized multiple character motions interactively. Our Laplacian motion editing ...
Physics-based approach for character animation has advantages in interactive AR applications in that the approach can create realistic character motions that are responsive to non-predefined environment and user inputs. In this paper, we introduce two ...
Table tennis is a game that can provide healthy exercise and is also a social pastime for players of all ages across the world. However, players have to be collocated to play, and three players cannot usually play at the same time in fair or equitable ...
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