73 citations · 99 across the 6 of their papers we have counts for
4 papers
Point Set Self-Embedding
Ruihui Li, Xianzhi Li, Tien-Tsin Wong +1
This work presents an innovative method for point set self-embedding, that encodes the structural information of a dense point set into its sparser version in a visual but impercep…
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
Ruihui Li, Xianzhi Li, Ka-Hei Hui +1
We present SP-GAN, a new unsupervised sphere-guided generative model for direct synthesis of 3D shapes in the form of point clouds. Compared with existing models, SP-GAN is able to…
Point Cloud Upsampling via Disentangled Refinement
Ruihui Li, Xianzhi Li, Pheng-Ann Heng +1
Point clouds produced by 3D scanning are often sparse, non-uniform, and noisy. Recent upsampling approaches aim to generate a dense point set, while achieving both distribution uni…
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li, Ruihui Li, Lei Zhu +2
This paper presents a deep normal filtering network, called DNF-Net, for mesh denoising. To better capture local geometry, our network processes the mesh in terms of local patches…