mlsanityData to 7 Oct 2026

Generalized Portrait Quality Assessment

arXiv 2402.09178 ↗First posted 14 Feb 2024cs.CVcited by 4

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Abstract (arXiv)

Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography. This paper presents FHIQA, a learning-based approach to PQA that introduces a simple but effective quality score rescaling method based on image semantics, to enhance the precision of fine-grained image quality metrics while ensuring robust generalization to various scene settings beyond the training dataset. The proposed approach is validated by extensive experiments on the PIQ23 benchmark and comparisons with the current state of the art. The source code of FHIQA will be made publicly available on the PIQ23 GitHub repository at https://github.com/DXOMARK-Research/PIQ2023.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 13 of its 80 references that are in the map. First posted on arXiv 14 Feb 2024.

Builds on

13 of 80 references.

References · 13

  1. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
  2. 2019KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentcited by 351
  3. 2019Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Networkcited by 301
  4. 2019From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Qualitycited by 221
  5. 2015Massive Online Crowdsourced Study of Subjective and Objective Picture Qualitycited by 208
  6. 2020Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wildcited by 134
  7. 2016Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approachcited by 71
  8. 2021Blind Quality Assessment for in-the-Wild Images via Hierarchical Feature Fusion and Iterative Mixed Database Trainingcited by 71
  9. 2019Learning to Blindly Assess Image Quality in the Laboratory and Wildcited by 14
  10. 2023An Image Quality Assessment Dataset for Portraitscited by 13
  11. 2013Is the Voter Model a model for voters?cited by 3
  12. 2016The noisy voter model on complex networkscited by 2
1 more
  1. 2022Learning from Mixed Datasets: A Monotonic Image Quality Assessment Modelcited by 2

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Cited by year

Citing papers per year: 2024: 3; 2025: 1.

4 papers.

  1. 2024Dual-Branch Network for Portrait Image Quality Assessmentcited by 8
  2. 2024Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Surveycited by 7
  3. 2024Pairwise Comparisons Are All You Needcited by 1
  4. 2025Facial Attractiveness Prediction in Live Streaming: A New Benchmark and Multi-modal Methodcited by 0