Results 1 to 10 of about 2,654,986 (74)
Unveiling The Factors of Aesthetic Preferences with Explainable AI [PDF]
British Journal of Psychology, 00, 1-35, 2024, 2023 The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences. Our models process these attributes as inputs
arxiv +1 more source
Aesthetic Visual Question Answering of Photographs [PDF]
arXiv, 2022 Aesthetic assessment of images can be categorized into two main forms: numerical assessment and language assessment. Aesthetics caption of photographs is the only task of aesthetic language assessment that has been addressed. In this paper, we propose a new task of aesthetic language assessment: aesthetic visual question and answering (AVQA) of images.
arxiv
Sample-specific repetitive learning for photo aesthetic assessment and highlight region extraction [PDF]
Multimedia tools and application, 2020, 2019 Aesthetic assessment is subjective, and the distribution of the aesthetic levels is imbalanced. In order to realize the auto-assessment of photo aesthetics, we focus on retraining the CNN-based aesthetic assessment model by dropping out the unavailable samples in the middle levels from the training data set repetitively to overcome the effect of ...
arxiv +1 more source
Personalizing Text-to-Image Generation via Aesthetic Gradients [PDF]
arXiv, 2022 This work proposes aesthetic gradients, a method to personalize a CLIP-conditioned diffusion model by guiding the generative process towards custom aesthetics defined by the user from a set of images. The approach is validated with qualitative and quantitative experiments, using the recent stable diffusion model and several aesthetically-filtered ...
arxiv
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning [PDF]
arXiv, 2021 Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-commerce, fashion design and so on. This task is more seriously affected by subjective factors and samples provided by users.
arxiv
Isoptics of log-aesthetic curves [PDF]
arXiv, 2021 The log-aesthetic curve has a significant factor in the field of aesthetic design to meet the high industrial requirements. It has much exceptional property and a large number of research papers are published, since its introduction. It can be parametrized by tangential angle, and it is autoevolute, meaning that its evolute is also a log-aesthetic ...
arxiv
On a Class of Polar Log-Aesthetic Curves [PDF]
arXiv, 2021 Curves are essential concepts that enable compounded aesthetic curves, e.g., to assemble complex silhouettes, match a specific curvature profile in industrial design, and construct smooth, comfortable, and safe trajectories in vehicle-robot navigation systems.
arxiv
Go Micro Aesthetics: A Cross-Sectional Study to Assess Anterior Hard and Soft Tissue Parameters in Young Adults of Bhopal City [PDF]
, 2022 Bhavika A Bhavsar +5 more
openalex +1 more source
Can We Predict the Scenic Beauty of Locations from Geo-tagged Flickr Images? [PDF]
arXiv, 2018 In this work, we propose a novel technique to determine the aesthetic score of a location from social metadata of Flickr photos. In particular, we built machine learning classifiers to predict the class of a location where each class corresponds to a set of locations having equal aesthetic rating.
arxiv
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2 [PDF]
arXiv, 2022 Image aesthetic quality assessment is popular during the last decade. Besides numerical assessment, nature language assessment (aesthetic captioning) has been proposed to describe the generally aesthetic impression of an image. In this paper, we propose aesthetic attribute assessment, which is the aesthetic attributes captioning, i.e., to assess the ...
arxiv