Neural fields are receiving increased attention as a geometric represent...
Neural Radiance Fields (NeRFs) learn to represent a 3D scene from just a...
Although massive pre-trained vision-language models like CLIP show impre...
The use of autoencoders for shape generation and editing suffers from
ma...
Autoregressive models have proven to be very powerful in NLP text genera...
Previous approaches to generate shapes in a 3D setting train a GAN on th...
The research project HDV-Mess aims at a currently missing, but very cruc...
We present octree-embedded BSPs, a volumetric mesh data structure suited...
Segmenting arbitrary 3D objects into constituent parts that are structur...
In geometry processing, symmetry is the universal high level structural
...
We consider the problem of approximating a two-dimensional shape contour...
Automatic synthesis of high quality 3D shapes is an ongoing and challeng...
The question of representation of 3D geometry is of vital importance whe...
Example-based mesh deformation methods are powerful tools for realistic ...