mlsanityData to 14 Oct 2026

Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey

arXiv 2404.11159 ↗First posted 17 Apr 2024cs.CVcited by 7

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Abstract (arXiv)

This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results. This challenge aims to obtain an efficient deep neural network capable of estimating the perceptual quality of real portrait photos. The methods must generalize to diverse scenes and diverse lighting conditions (indoor, outdoor, low-light), movement, blur, and other challenging conditions. In the challenge, 140 participants registered, and 35 submitted results during the challenge period. The performance of the top 5 submissions is reviewed and provided here as a gauge for the current state-of-the-art in Portrait Quality Assessment.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 18 of its 41 references that are in the map. First posted on arXiv 17 Apr 2024.

Builds on

18 of 41 references.

References · 18

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2019KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentcited by 355
  5. 2023Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspectivecited by 280
  6. 2015Massive Online Crowdsourced Study of Subjective and Objective Picture Qualitycited by 209
  7. 2022FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Samplingcited by 179
  8. 2020Patch-VQ: 'Patching Up' the Video Quality Problemcited by 147
  9. 2018DSFD: Dual Shot Face Detectorcited by 116
  10. 2020Face Image Quality Assessment: A Literature Surveycited by 80
  11. 2024The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Reportcited by 57
  12. 2024NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 40
6 more
  1. 2022Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Modelcited by 22
  2. 2023An Image Quality Assessment Dataset for Portraitscited by 14
  3. 2022MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusioncited by 10
  4. 2015The Beauty of Capturing Faces: Rating the Quality of Digital Portraitscited by 5
  5. 2024GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessmentcited by 5
  6. 2024Generalized Portrait Quality Assessmentcited by 4

Built on by

Cited by year

Citing papers per year: 2024: 7.

7 papers.

  1. 2024NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Resultscited by 26
  2. 2024Quality Assessment in the Era of Large Models: A Surveycited by 26
  3. 2024NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challengecited by 9
  4. 2024Dual-Branch Network for Portrait Image Quality Assessmentcited by 8
  5. 2024Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Surveycited by 6
  6. 2024NTIRE 2024 Challenge on Night Photography Renderingcited by 4
  7. 2024NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Resultscited by 0