3 citations · 6 across the 13 of their papers we have counts for
10 papers · 1 filter
NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
Jiebin Yan, Chenyu Tu, Weixia Zhang +8
This paper presents a comprehensive review of the NITRE 2026 Efficient Low Light Image Enhancement (E-LLIE) Challenge, highlighting the proposed solutions and final outcomes. This…
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
Jiebin Yan, Kangcheng Wu, Jingwen Hou +3
Blind omnidirectional image quality assessment (BOIQA) presents a great challenge to the visual quality assessment community, due to different storage formats and diverse user view…
Diffusion-based Facial Aesthetics Enhancement with 3D Structure Guidance
Lisha Li, Jingwen Hou, Weide Liu +2
Facial Aesthetics Enhancement (FAE) aims to improve facial attractiveness by adjusting the structure and appearance of a facial image while preserving its identity as much as possi…
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm
Jiebin Yan, Kangcheng Wu, Junjie Chen +2
Most of existing blind omnidirectional image quality assessment (BOIQA) models rely on viewport generation by modeling user viewing behavior or transforming omnidirectional images…
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
Jiebin Yan, Ziwen Tan, Jiale Rao +3
Blind panoramic image quality assessment (BPIQA) has recently brought new challenge to the visual quality community, due to the complex interaction between immersive content and hu…
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…