2 citations · 4 across the 10 of their papers we have counts for
10 papers
VGA-BenchV2: An Expanded Unified Benchmark and Multi-Model Framework for Evaluating Video Aesthetics and Generation Quality
Longteng Jiang, DanDan Zheng, Qianqian Qiao +7
We introduce VGA-BenchV2, an extended human-aligned benchmark and optimization framework for jointly evaluating and improving video generation quality and aesthetic value. Built up…
VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations
Qianqian Qiao, DanDan Zheng, Yihang Bo +7
Video aesthetic assessment, a vital area in multimedia computing, integrates computer vision with human cognition. Its progress is limited by the lack of standardized datasets and…
AesTest: Measuring Aesthetic Intelligence from Perception to Production
Guolong Wang, Heng Huang, Zhiqiang Zhang +3
Perceiving and producing aesthetic judgments is a fundamental yet underexplored capability for multimodal large language models (MLLMs). However, existing benchmarks for image aest…
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments
Xin Jin, Qianqian Qiao, Yi Lu +5
Datasets play a pivotal role in training visual models, facilitating the development of abstract understandings of visual features through diverse image samples and multidimensiona…
Paintings and Drawings Aesthetics Assessment with Rich Attributes for Various Artistic Categories
Xin Jin, Qianqian Qiao, Yi Lu +3
Image aesthetic evaluation is a highly prominent research domain in the field of computer vision. In recent years, there has been a proliferation of datasets and corresponding eval…
Predicting Scores of Various Aesthetic Attribute Sets by Learning from Overall Score Labels
Heng Huang, Xin Jin, Yaqi Liu +5
Now many mobile phones embed deep-learning models for evaluation or guidance on photography. These models cannot provide detailed results like human pose scores or scene color scor…
Aesthetic Language Guidance Generation of Images Using Attribute Comparison
Xin Jin, Qiang Deng, Jianwen Lv +3
With the vigorous development of mobile photography technology, major mobile phone manufacturers are scrambling to improve the shooting ability of equipments and the photo beautifi…
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2
Xinghui Zhou, Xin Jin, Jianwen Lv +3
Image aesthetic quality assessment is popular during the last decade. Besides numerical assessment, nature language assessment (aesthetic captioning) has been proposed to describe…
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Xin Jin, Hao Lou, Huang Heng +4
In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets. To re…
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
Xin Jin, Xiqiao Li, Heng Huang +2
The task of aesthetic quality assessment is complicated due to its subjectivity. In recent years, the target representation of image aesthetic quality has changed from a one-dimens…