Text-to-image synthesis refers to generating an image from a given text description, the key
goal of which lies in photo realism and semantic consistency. Previous methods usually …

Text-to-image generation aims at generating realistic images which are semantically
consistent with the given text. Previous works mainly adopt the multi-stage architecture by …

In this paper, we focus on generating photo-realistic images from given text descriptions.
Current methods first generate an initial image and then progressively refine it to a high …

Synthesizing complex images from text presents challenging. Compared to autoregressive
and diffusion model-based methods, Generative Adversarial Network-based methods have …

Text-to-image Synthesis is to obtain images with both authenticity and semantic consistency
from natural language descriptions. However, in previous methods, the fusion of semantic …

Batik is a cultural heritage as well as the identity of the Indonesian nation that needs to be
preserved. The use of deep learning allows the process of making batik patterns done by …

Collaborative Filtering, a popular method for recommendation engines, models its
predictions using past interactions between the entities in question (aka users/movies or …

Résumé À la suite de la récente introduction et popularité de générateurs d'art au grand
public, on pourrait se demander quelles sont les différents types de générateurs existants …

Dancing, music or any format of art has been a prominent thing from the past centuries. The
many dynasties ruled the nation for centuries but every king encouraged the art one way or …