Learning personalized image aesthetics from subjective and objective attributes
Due to the widespread popularity of social media, researchers have developed a strong
interest in learning the personalized image aesthetics of online users. Personalized image …
interest in learning the personalized image aesthetics of online users. Personalized image …
Aesbench: An expert benchmark for multimodal large language models on image aesthetics perception
Y Huang, Q Yuan, X Sheng, Z Yang, H Wu… - ar** aesthetic assessment
How to explore the interaction between image aesthetic rules and crops is the key to finding
views with good composition. Besides, it is subjective to evaluate candidate crops, which …
views with good composition. Besides, it is subjective to evaluate candidate crops, which …
Pseudo Label Fusion with Uncertainty Estimation for Semi-Supervised Crop** Box Regression
Crop** box regression algorithms re-frame the images with predicted crop** boxes for
better composition quality, which can save considerable manpower and time for massive …
better composition quality, which can save considerable manpower and time for massive …
Coarse-to-fine Image Aesthetics Assessment With Dynamic Attribute Selection
Image aesthetics assessment (IAA) is an interesting but challenging task, owing to the
ineffable nature of human sense of beauty. The study of IAA has evolved from simple binary …
ineffable nature of human sense of beauty. The study of IAA has evolved from simple binary …
Group Image Compression for Dual Use of Machine and Human Vision
Faces in a scene of human group, if coded with sufficient precision, can be computer
analyzed for machine vision tasks involving faces. But this requires storing and …
analyzed for machine vision tasks involving faces. But this requires storing and …
Aesthetic image captioning on the FAE-Captions dataset
At present, most of the research on image aesthetics focuses on scoring pictures. We
propose Aesthetic Assessment of Images, which means the dense aesthetic captioning. The …
propose Aesthetic Assessment of Images, which means the dense aesthetic captioning. The …
[HTML][HTML] Deep learning for Ethiopian indigenous medicinal plant species identification and classification
MA Kiflie, DP Sharma, MA Haile - Journal of Ayurveda and Integrative …, 2024 - Elsevier
Background Medicinal plants are crucial for traditional healers in preparing remedies and
also hold significant importance for the modern pharmaceutical industry, facilitating drug …
also hold significant importance for the modern pharmaceutical industry, facilitating drug …
SDR: stepwise deep rectangling model for stitched images
M Wang, Y Mei, L Yang, B Tian, K Wu - The Visual Computer, 2024 - Springer
The image rectangling task aims to solve the problem of boundary irregularity in the stitched
image without reducing the wide-field-of-view content information of the stitched image …
image without reducing the wide-field-of-view content information of the stitched image …