2 citations · 2 across the 6 of their papers we have counts for
6 papers
DJM: Compact Base Meshes for Displacement Mapping using Triangle Jacobians
Congyi Zhang, Nicholas Vining, Yanhong Lin +5
Representing complex geometry as a displacement function defined over a coarse base mesh enables compact storage and accelerated rendering. The core challenge in converting detaile…
NeuVAS: Neural Implicit Surfaces for Variational Shape Modeling
Pengfei Wang, Qiujie Dong, Fangtian Liang +11
Neural implicit shape representation has drawn significant attention in recent years due to its smoothness, differentiability, and topological flexibility. However, directly modeli…
CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation
Peng Li, Suizhi Ma, Jialiang Chen +7
Recently, 3D generation methods have shown their powerful ability to automate 3D model creation. However, most 3D generation methods only rely on an input image or a text prompt to…
Capturing Non-Linear Human Perspective in Line Drawings
Jinfan Yang, Leo Foord-Kelcey, Suzuran Takikawa +3
Artist-drawn sketches only loosely conform to analytical models of perspective projection; the deviation of human-drawn perspective from analytical perspective models is persistent…
NESI: Shape Representation via Neural Explicit Surface Intersection
Congyi Zhang, Jinfan Yang, Eric Hedlin +5
Compressed representations of 3D shapes that are compact, accurate, and can be processed efficiently directly in compressed form, are extremely useful for digital media application…
Neural Parametric Surfaces for Shape Modeling
Lei Yang, Yongqing Liang, Xin Li +6
The recent surge of utilizing deep neural networks for geometric processing and shape modeling has opened up exciting avenues. However, there is a conspicuous lack of research effo…