Vila: Learning image aesthetics from user comments with vision-language pretraining
Assessing the aesthetics of an image is challenging, as it is influenced by multiple factors
including composition, color, style, and high-level semantics. Existing image aesthetic …
including composition, color, style, and high-level semantics. Existing image aesthetic …
A comprehensive survey on computational aesthetic evaluation of visual art images: Metrics and challenges
J Zhang, Y Miao, J Yu - IEEE Access, 2021 - ieeexplore.ieee.org
Computational image aesthetic evaluation is a computable human aesthetic perception and
judgment realized by machines, which has a significant impact on a variety of applications …
judgment realized by machines, which has a significant impact on a variety of applications …
A review of design intelligence: progress, problems, and challenges
Abstract Design intelligence is an important branch of artificial intelligence (AI), focusing on
the intelligent models and algorithms in creativity and design. In the context of AI 2.0, studies …
the intelligent models and algorithms in creativity and design. In the context of AI 2.0, studies …
Eva: An explainable visual aesthetics dataset
Assessing visual aesthetics has important applications in several domains, from image
retrieval and recommendation to enhancement. Modern aesthetic quality predictors are data …
retrieval and recommendation to enhancement. Modern aesthetic quality predictors are data …
Understanding aesthetics with language: A photo critique dataset for aesthetic assessment
D Vera Nieto, L Celona… - Advances in Neural …, 2022 - proceedings.neurips.cc
Computational inference of aesthetics is an ill-defined task due to its subjective nature. Many
datasets have been proposed to tackle the problem by providing pairs of images and …
datasets have been proposed to tackle the problem by providing pairs of images and …
Trust in AI-augmented design: Applying structural equation modeling to AI-augmented design acceptance
With the emergence of Artificial Intelligence (AI) 2.0, computers are now equipped with new
creative capabilities and are playing an increasingly significant role in design. The use of AI …
creative capabilities and are playing an increasingly significant role in design. The use of AI …
Image composition assessment with saliency-augmented multi-pattern pooling
Image composition assessment is crucial in aesthetic assessment, which aims to assess the
overall composition quality of a given image. However, to the best of our knowledge, there is …
overall composition quality of a given image. However, to the best of our knowledge, there is …
Research Progress on the Aesthetic Quality Assessment of Complex Layout Images Based on Deep Learning
Y Pu, D Liu, S Chen, Y Zhong - Applied Sciences, 2023 - mdpi.com
With the development of the information age, the layout image is no longer a simple
combination of text and graphics, but covers the complex layout image obtained from text …
combination of text and graphics, but covers the complex layout image obtained from text …
Advances and challenges in computational image aesthetics
Computational image aesthetics aims at designing algorithmic approaches to perform
aesthetic decisions, in a similar fashion as humans. In the past fifteen years, computational …
aesthetic decisions, in a similar fashion as humans. In the past fifteen years, computational …
Artificial intelligence augmented design iteration support
C Zhou, C Chai, J Liao, Z Chen… - 2020 13th International …, 2020 - ieeexplore.ieee.org
Design is an iterative process that aims at problem-solving. While the importance of mental
iteration has been identified, there are little research on how to improve mental iteration in …
iteration has been identified, there are little research on how to improve mental iteration in …