1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
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…
cs.CV2022★ 1 cited
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…
cs.CV2022★ 1 cited
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes
Ka-Hei Hui, Ruihui Li, Jingyu Hu +1
This paper introduces a novel framework called DTNet for 3D mesh reconstruction and generation via Disentangled Topology. Beyond previous works, we learn a topology-aware neural te…