Search Results for author:
Found 15 papers, 6 papers with code
AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Images
Finally, we conduct a benchmark experiment to evaluate the performance of state-of-the-art IQA models on our database.
Perceptual Video Quality Assessment: A Survey
Perceptual video quality assessment plays a vital role in the field of video processing due to the existence of quality degradations introduced in various stages of video signal acquisition, compression, transmission and display.
SingingHead: A Large-scale 4D Dataset for Singing Head Animation
Extensive comparative experiments with both SOTA 3D facial animation and 2D portrait animation methods demonstrate the necessity of singing-specific datasets in singing head animation tasks and the promising performance of our unified facial animation framework.
Audio-visual Saliency for Omnidirectional Videos
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV rendering, etc..
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Omnidirectional videos (ODVs) play an increasingly important role in the application fields of medical, education, advertising, tourism, etc.
Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution Prediction
On the other hand, we also prove the feasibility of the proposed method in predicting the MOS of image quality on several popular IQA databases, including CSIQ, TID2013, LIVE MD, and LIVE Challenge.
EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
Currently, great numbers of efforts have been put into improving the effectiveness of 3D model quality assessment (3DQA) methods.
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Stage I introduces a test time adaptation strategy, which improves the physical plausibility of synthesized human skeleton motions by optimizing skeleton joint locations.
Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric
To tackle the challenge of point cloud quality assessment (PCQA), many PCQA methods have been proposed to evaluate the visual quality levels of point clouds by assessing the rendered static 2D projections.
Perceptual Quality Assessment of Omnidirectional Images
The original and distorted omnidirectional images, subjective quality ratings, and the head and eye movement data together constitute the OIQA database.
Confusing Image Quality Assessment: Towards Better Augmented Reality Experience
An objective metric termed CFIQA is also proposed to better evaluate the confusing image quality.
Looking Here or There? Gaze Following in 360-Degree Images
Specifically, the local region is obtained as a 2D cone-shaped field along the 2D projection of the sight line starting at the human subject's head position, and the distant region is obtained by searching along the sight line in 3D sphere space.
Toward Better Understanding of Saliency Prediction in Augmented 360 Degree Videos
The saliency annotations of head and eye movements for both original and augmented videos are collected and together constitute the ARVR dataset.
Machine: The New Art Connoisseur
To help address the second question, we conduct network analysis on the influences among styles and artists by extracting 512 features from the best-performing classification model.
Terahertz Security Image Quality Assessment by No-reference Model Observers
Subsequently, the existing no-reference IQA algorithms, which were 5 opinion-aware approaches viz., NFERM, GMLF, DIIVINE, BRISQUE and BLIINDS2, and 8 opinion-unaware approaches viz., QAC, SISBLIM, NIQE, FISBLIM, CPBD, S3 and Fish_bb, were executed for the evaluation of the THz security image quality.
