7 papers
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
Zhen Zhang, Jielei Chu, Tian Zhang +5
Existing deep network-based full-reference image quality assessment (FR-IQA) models typically work by performing pairwise comparisons of deep features from the reference and distor…
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
Weide Liu, Xiaoyang Zhong, Lu Wang +4
Unsupervised domain adaptation methods seek to generalize effectively on unlabeled test data, especially when encountering the common challenge in time series data that distributio…
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…
Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Junjie Chen +3
Omnidirectional image quality assessment (OIQA) has been widely investigated in the past few years and achieved much success. However, most of existing studies are dedicated to sol…
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Xuelin Liu +3
Omnidirectional image quality assessment (OIQA) has been one of the hot topics in IQA with the continuous development of VR techniques, and achieved much success in the past few ye…