To overcome this limitation, we propose a novel deep-learning (DL)-based self-supervised super-resolution approach that computationally reconstructs isotropic 3DEM from the anisotropic acquisition.
The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.
Ranked #1 on Color Image Denoising on CBSD68 sigma35
Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors.
Our method extracts the deep patterns inside a 3D object via creating a dynamic link to seek the most stable patterns and at once, throws away the unstable ones.