This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

Real-time video frame interpolation (VFI) is very useful in video processing, media players,
and display devices. We propose RIFE, a Real-time Intermediate Flow Estimation algorithm …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

We introduce a differentiable rasterizer that bridges the vector graphics and raster image
domains, enabling powerful raster-based loss functions, optimization procedures, and …

This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

Vector graphics are widely used to represent fonts, logos, digital artworks, and graphic
designs. But, while a vast body of work has focused on generative algorithms for raster …

Neural painting refers to the procedure of producing a series of strokes for a given image
and non-photo-realistically recreating it using neural networks. While reinforcement learning …

This paper proposes an image-to-painting translation method that generates vivid and
realistic painting artworks with controllable styles. Different from previous image-to-image …

Abstract Plug-and-play (PnP) is a non-convex framework that combines ADMM or other
proximal algorithms with advanced denoiser priors. Recently, PnP has achieved great …