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Dual-Branch Network for Portrait Image Quality Assessment

https://doi.org/10.2139/ssrn.5481622
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-01793-3_24openalex-snapshot
Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5
inferredcites →https://doi.org/10.1007/s11432-019-2757-1openalex-snapshot
Perceptual image quality assessment: a survey
inferredcites →https://doi.org/10.1016/j.displa.2023.102540openalex-snapshot
A no-reference quality assessment metric for dynamic 3D digital human
inferredcites →https://doi.org/10.1016/j.dsp.2019.02.017openalex-snapshot
Free-energy principle inspired visual quality assessment: An overview
inferredcites →https://doi.org/10.1016/j.ijleo.2015.02.093openalex-snapshot
No-reference image quality assessment algorithms: A survey
inferredcites →https://doi.org/10.1109/fg.2018.00020openalex-snapshot
VGGFace2: A Dataset for Recognising Faces across Pose and Age
inferredcites →https://doi.org/10.1109/jstsp.2019.2955024openalex-snapshot
MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/tcsvt.2018.2886771openalex-snapshot
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tcsvt.2022.3186894openalex-snapshot
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models
inferredcites →https://doi.org/10.1109/tip.2006.881959openalex-snapshot
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
inferredcites →https://doi.org/10.1109/tip.2011.2147325openalex-snapshot
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
inferredcites →https://doi.org/10.1109/tip.2012.2191563openalex-snapshot
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tip.2020.2967829openalex-snapshot
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
inferredcites →https://doi.org/10.1109/tmm.2014.2373812openalex-snapshot
Using Free Energy Principle For Blind Image Quality Assessment
inferredcites →https://doi.org/10.1109/tpami.2024.3385364openalex-snapshot
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
inferredcites →https://doi.org/10.1111/j.1467-8659.2012.03188.xopenalex-snapshot
Comparison of Four Subjective Methods for Image Quality Assessment
inferredcites →https://doi.org/10.1117/1.3267105openalex-snapshot
Most apparent distortion: full-reference image quality assessment and the role of strategy
inferredcites →https://doi.org/10.1145/3345336.3345338openalex-snapshot
Subjective Versus Objective Face Image Quality Evaluation For Face Recognition
inferredcites →https://doi.org/10.1145/3457905openalex-snapshot
Perceptual Quality Assessment of Low-light Image Enhancement
inferredcites →https://doi.org/10.1145/3503161.3548329openalex-snapshot
A Deep Learning based No-reference Quality Assessment Model for UGC Videos
inferredcites →https://doi.org/10.1145/3664647.3681471openalex-snapshot
Large Multi-modality Model Assisted AI-Generated Image Quality Assessment
inferredcites →https://doi.org/10.1146/annurev-vision-093019-115521openalex-snapshot
Mobile Computational Photography: A Tour
inferredcites →https://doi.org/10.1186/s13640-021-00578-yopenalex-snapshot
Reduced reference image and video quality assessments: review of methods

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-37447-9_28openalex-snapshot
CGCC: Towards Generalizable Clothes-Changing Person Re-identification
inferred← citeshttps://doi.org/10.1007/978-981-95-5761-5_24openalex-snapshot
A Light-Aware Quality Assessment Method for Relighted Human Heads Based on Multi-task Learning
inferred← citeshttps://doi.org/10.1016/j.displa.2024.102955openalex-snapshot
Scoring structure regularized gradient boosting network for blind image quality assessment
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103221openalex-snapshot
Facial quality assessment of digital humans: A dual-branch framework integrating morphological harmony and expressive coordination
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130452openalex-snapshot
Enhancing blind video quality assessment with rich quality-aware features
inferred← citeshttps://doi.org/10.1016/j.image.2025.117371openalex-snapshot
CT-PCQA: A Convolutional Neural Network and Transformer combined Method for Point Cloud Quality Assessment
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104321openalex-snapshot
MI3S: A multimodal large language model assisted quality assessment framework for AI-generated talking heads
inferred← citeshttps://doi.org/10.1109/icip51287.2024.10647507openalex-snapshot
Thqa: A Perceptual Quality Assessment Database for Talking Heads
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