40 citations · 70 across the 5 of their papers we have counts for
5 papers
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration
Jingyu Hu, Ka-Hei Hui, Zhengzhe liu +2
This paper presents CLIPXPlore, a new framework that leverages a vision-language model to guide the exploration of the 3D shape space. Many recent methods have been developed to en…
Neural Wavelet-domain Diffusion for 3D Shape Generation
Ka-Hei Hui, Ruihui Li, Jingyu Hu +1
This paper presents a new approach for 3D shape generation, enabling direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose…
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…
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network
Hao Xu, Ka Hei Hui, Chi-Wing Fu +1
We introduce the first neural optimization framework to solve a classical instance of the tiling problem. Namely, we seek a non-periodic tiling of an arbitrary 2D shape using one o…
Computational LEGO Technic Design
Hao Xu, Ka-Hei Hui, Chi-Wing Fu +1
We introduce a method to automatically compute LEGO Technic models from user input sketches, optionally with motion annotations. The generated models resemble the input sketches wi…