2 papers
cs.LG2025
Equivariant neural networks and equivarification
Erkao Bao, Jingcheng Lu, Linqi Song +3
Equivariant neural networks are a class of neural networks designed to preserve symmetries inherent in the data. In this paper, we introduce a general method for modifying a neural…
cs.CV2024
Differentiable Collision-Supervised Tooth Arrangement Network with a Decoupling Perspective
Zhihui He, Chengyuan Wang, Shidong Yang +3
Tooth arrangement is an essential step in the digital orthodontic planning process. Existing learning-based methods use hidden teeth features to directly regress teeth motions, whi…