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cs.LG2022★ 6 cited
Implicit Neural Spatial Representations for Time-dependent PDEs
Honglin Chen, Rundi Wu, Eitan Grinspun +2
Implicit Neural Spatial Representation (INSR) has emerged as an effective representation of spatially-dependent vector fields. This work explores solving time-dependent PDEs with I…
cs.GR2022★ 24 cited
Learning to Generate 3D Shapes from a Single Example
Rundi Wu, Changxi Zheng
Existing generative models for 3D shapes are typically trained on a large 3D dataset, often of a specific object category. In this paper, we investigate the deep generative model t…