23 citations · 30 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 23 cited
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
Wang Yifan, Lukas Rahmann, Olga Sorkine-Hornung
We present implicit displacement fields, a novel representation for detailed 3D geometry. Inspired by a classic surface deformation technique, displacement mapping, our method repr…
cs.CV2018★ 7 cited
Studying Invariances of Trained Convolutional Neural Networks
Charlotte Bunne, Lukas Rahmann, Thomas Wolf
Convolutional Neural Networks (CNNs) define an exceptionally powerful class of models for image classification, but the theoretical background and the understanding of how invarian…