Search Results for author:
Found 4 papers, 3 papers with code
Neural Fourier Filter Bank
We present a novel method to provide efficient and highly detailed reconstructions.
ETNet: Error Transition Network for Arbitrary Style Transfer
Numerous valuable efforts have been devoted to achieving arbitrary style transfer since the seminal work of Gatys et al.
EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer
Style transfer has been an important topic both in computer vision and graphics.
Structure-aware Generative Network for 3D-Shape Modeling
The key idea is that during the analysis, the two branches exchange information between them, thereby learning the dependencies between structure and geometry and encoding two augmented features, which are then fused into a single latent code.
Graphics
Cannot find the paper you are looking for? You can
Submit a new open access paper.
