Text-to-image models offer unprecedented freedom to guide creation through natural
language. Yet, it is unclear how such freedom can be exercised to generate images of …

The artistic style within a painting is the means of expression, which includes not only the
painting material, colors, and brushstrokes, but also the high-level attributes, including …

Recent works on diffusion models have demonstrated a strong capability for conditioning
image generation, eg, text-guided image synthesis. Such success inspires many efforts …

Recently, emotional talking face generation has received considerable attention. However,
existing methods only adopt one-hot coding, image, or audio as emotion conditions, thus …

Text-driven 3D style transfer aims at stylizing a scene according to the text and generating
arbitrary novel views with consistency. Simply combining image/video style transfer methods …

Arbitrary style transfer aims at reproducing the target image with provided artistic or photo-
realistic styles. Even though existing approaches can successfully transfer style information …

Recent advances in diffusion models have successfully enabled text-guided image
inpainting. While it seems straightforward to extend such editing capability into the video …

We present FineStyle, a novel framework for motion style transfer that generates expressive
human animations with specific styles for virtual reality and vision fields. It incorporates …

An emerging theme in artificial intelligence research is the creation of models to simulate the
decisions and behavior of specific people, in domains including game-playing, text …

Deep generative models are effective in style transfer. Previous methods learn one or
several specific artist-style from a collection of artworks. These methods not only …