activity
20242026
collaborators

5 papers

eess.IV2026

Unifying Image Quality Assessment Datasets: MOSAIQ-500K and MOSAIQ-Bench

Wenbo Yang, Zhongling Wang, Jialu Xu +2

Image quality assessment (IQA) datasets use different subjective protocols and rating scales, so their scores are not directly comparable. The lack of a common perceptual scale hin…

cs.CV2025

Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model

Jiebin Yan, Ziwen Tan, Yuming Fang +3

The fast growing application of omnidirectional images calls for effective approaches for omnidirectional image quality assessment (OIQA). Existing OIQA methods have been developed…

cs.CV2024

HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment

Armin Shafiee Sarvestani, Sheyang Tang, Zhou Wang

Mesh quality assessment (MQA) models play a critical role in the design, optimization, and evaluation of mesh operation systems in a wide variety of applications. Current MQA model…

cs.CV2024

Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images

Wei Zhou, Zhou Wang

Depth perception plays an essential role in the viewer experience for immersive virtual reality (VR) visual environments. However, previous research investigations in the depth qua…

cs.CV2024

Perceptual Crack Detection for Rendered 3D Textured Meshes

Armin Shafiee Sarvestani, Wei Zhou, Zhou Wang

Recent years have witnessed many advancements in the applications of 3D textured meshes. As the demand continues to rise, evaluating the perceptual quality of this new type of medi…