Traditional Chinese painting has a long history. When we appreciate such paintings today,
although we can obtain an overview of the landscape and environment of that time, it can be …

Despite large-scale diffusion models being highly capable of generating diverse open-world
content, they still struggle to match the photorealism and fidelity of concept-specific …

Recently, inversion methods have been exploring the incorporation of additional high-rate
information from pretrained generators (such as weights or intermediate features) to improve …

Contrastive learning is a self-supervised comparison of two samples to identify
characteristics and traits that distinguish one data class from another, improving …

As the methods evolve, inversion is mainly divided into two steps. The first step is Image
Embedding, in which an encoder or optimization process embeds images to get the …

Chinese painting is one of the most important cultural heritages. However, creating a
Chinese painting usually requires specific skills, patience, and years of professional training …

Owing to the excellent visual quality of results, Gatys et al.'s Neural Style Transfer (NST)
online algorithm is regarded as the gold-standard in the community of NST, but this …

In this paper, a study on Andamento, which is a traditional mosaic style, is described and a
method for simulating a tile mosaic with various types of Andamento is presented. We …

At present, the self-attention mechanism represented by the non-local network has been
applied in style transfer widely. Models can achieve good style transfer effects by …

Style transfer is the process that aims to recreate a given image (target image) with the style
of another image (style image). In this work, a new style transfer scheme is proposed that …