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Found 6 papers, 1 papers with code
Image Stylization: From Predefined to Personalized
We present a framework for interactive design of new image stylizations using a wide range of predefined filter blocks.
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
In this work, we broadly connect kernel-based filtering (e. g. approaches such as the bilateral filters and nonlocal means, but also many more) with general variational formulations of Bayesian regularized least squares, and the related concept of proximal operators.
Graphic Narrative with Interactive Stylization Design
In parallel to this manual design, we propose a novel procedural approach that automatically assembles sequences of filters for innovative results.
Graphics
BLADE: Filter Learning for General Purpose Computational Photography
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, Isidoro, and Milanfar is a computationally efficient image upscaling method using a trained set of filters.
Trainable Frontend For Robust and Far-Field Keyword Spotting
Robust and far-field speech recognition is critical to enable true hands-free communication.
