no code implementations • 1 Mar 2023 • Elena Trunz, Jonathan Klein, Jan Müller, Lukas Bode, Ralf Sarlette, Michael Weinmann, Reinhard Klein
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples.
no code implementations • 29 Nov 2019 • Jan Müller, Reinhard Klein, Michael Weinmann
In current state-of-the-art Wasserstein-GANs this constraint is enforced via gradient norm regularization.