22 citations · 24 across the 4 of their papers we have counts for
4 papers
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds
Chao Chen, Yu-Shen Liu, Zhizhong Han
Learning implicit representations has been a widely used solution for surface reconstruction from 3D point clouds. The latest methods infer a distance or occupancy field by overfit…
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
Chao Chen, Yu-Shen Liu, Zhizhong Han
It is vital to infer signed distance functions (SDFs) from 3D point clouds. The latest methods rely on generalizing the priors learned from large scale supervision. However, the le…
Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
Andrey Ignatov, Cheng-Ming Chiang, Hsien-Kai Kuo +38
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more and more attention is now being paid to ISP algorithms used to improve various perceptual…
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions
Weikai Chen, Xiaoguang Han, Guanbin Li +4
Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its ext…