5 papers
Hierarchical Fusion and Joint Aggregation: A Multi-Level Feature Representation Method for AIGC Image Quality Assessment
Linghe Meng, Jiarun Song
The quality assessment of AI-generated content (AIGC) faces multi-dimensional challenges, that span from low-level visual perception to high-level semantic understanding. Existing…
Visual-Language Model Knowledge Distillation Method for Image Quality Assessment
Yongkang Hou, Jiarun Song
Image Quality Assessment (IQA) is a core task in computer vision. Multimodal methods based on vision-language models, such as CLIP, have demonstrated exceptional generalization cap…
Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds
Juncheng Long, Honglei Su, Qi Liu +4
No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work,…
Perceptual Quality Assessment of Octree-RAHT Encoded 3D Point Clouds
Dongshuai Duan, Honglei Su, Qi Liu +4
No-reference bitstream-layer point cloud quality assessment (PCQA) can be deployed without full decoding at any network node to achieve real-time quality monitoring. In this work,…
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?
Richard Antonello, Nihita Sarma, Jerry Tang +2
Brain-computer interfaces have promising medical and scientific applications for aiding speech and studying the brain. In this work, we propose an information-based evaluation metr…