This paper presents a new approach for 3D shape generation, inversion, a...
This paper presents a new approach for 3D shape generation, enabling dir...
Text-guided 3D shape generation remains challenging due to the absence o...
This paper introduces a novel framework called DTNet for 3D mesh
reconst...
This work presents an innovative method for point set self-embedding, th...
Point cloud upsampling is to densify a sparse point set acquired from 3D...
We present SP-GAN, a new unsupervised sphere-guided generative model for...
Point clouds produced by 3D scanning are often sparse, non-uniform, and
...
This paper presents a deep normal filtering network, called DNF-Net, for...
Recently, many deep neural networks were designed to process 3D point cl...
This paper presents a novel non-local part-aware deep neural network to
...
We present PointAugment, a new auto-augmentation framework that automati...
Point clouds acquired from range scans are often sparse, noisy, and
non-...