Advances and Challenges in Deep Learning Based Image Generation Models
DOI:
https://doi.org/10.54097/h7kbhc75Keywords:
Computer Vision, Image Generation, Deep Learning.Abstract
A hot topic in current computer vision research is image generation, which essentially refers to the use of computer algorithms and models to generate artistic and creative images. With the development of artificial intelligence and deep learning, numerous image generation models have emerged, and image generation technology is gradually becoming an important research direction in the fields of computer graphics and art. This has driven the widespread application of image generation in areas such as film, gaming, and painting. This paper provides a preliminary introduction to the basic principles of image generation models, including popular models, their evolution and variants. It then discusses some of the application areas in which image generation can be used. Finally, by analysing the challenges and issues faced by image generation models, this paper looks ahead to some of the work that future researchers will undertake and the direction in which image generation models will develop.
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