2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.GR2024
Diverse Part Synthesis for 3D Shape Creation
Yanran Guan, Oliver van Kaick
Methods that use neural networks for synthesizing 3D shapes in the form of a part-based representation have been introduced over the last few years. These methods represent shapes…
cs.GR2022
Learning Neural Implicit Representations with Surface Signal Parameterizations
Yanran Guan, Andrei Chubarau, Ruby Rao +1
Neural implicit surface representations have recently emerged as popular alternative to explicit 3D object encodings, such as polygonal meshes, tabulated points, or voxels. While s…
cs.GR2020★ 2 cited
FAME: 3D Shape Generation via Functionality-Aware Model Evolution
Yanran Guan, Han Liu, Kun Liu +8
We introduce a modeling tool which can evolve a set of 3D objects in a functionality-aware manner. Our goal is for the evolution to generate large and diverse sets of plausible 3D…