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cs.CV2021
3D Shape Generation with Grid-based Implicit Functions
Moritz Ibing, Isaak Lim, Leif Kobbelt
Previous approaches to generate shapes in a 3D setting train a GAN on the latent space of an autoencoder (AE). Even though this produces convincing results, it has two major shortc…
cs.CV2019
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
Isaak Lim, Moritz Ibing, Leif Kobbelt
Automatic synthesis of high quality 3D shapes is an ongoing and challenging area of research. While several data-driven methods have been proposed that make use of neural networks…
cs.CV2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes
Isaak Lim, Alexander Dielen, Marcel Campen +1
The question of representation of 3D geometry is of vital importance when it comes to leveraging the recent advances in the field of machine learning for geometry processing tasks.…