Browse State-of-the-Art › Face Image Quality Assessment
Face Image Quality Assessment
24 papers with code · 2 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CGFIQA-40k (3 rows) | DSL-FIQA | DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation... | code | — | Compare |
| PIQ23 (3 rows) | Dual-Branch Network | Dual-Branch Network for Portrait Image Quality Assessment | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
24 shown of 24 papers with code (44 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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7 Jan 2025 2 repositories listedSubsequently, the PSNR and SSIM metrics are employed to obtain training labels based on which neural networks are trained using a single network to detect JPEG and JPEG 2000 artefacts, respectively.
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13 Jun 2024 1 repository listedGeneric Face Image Quality Assessment (GFIQA) evaluates the perceptual quality of facial images, which is crucial in improving image restoration algorithms and selecting high-quality face images for downstream tasks.
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14 May 2024 1 repository listedWe employ the fidelity loss to train the model via a learning-to-rank manner to mitigate inconsistencies in quality scores in the portrait image quality assessment dataset PIQ.
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18 Apr 2024 1 repository listedWe propose in this work a novel approach to assess the quality of face images based on inspecting the required changes in the pre-trained FR model weights to minimize differences between testing samples and the…
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15 Apr 2024 1 repository listedTo address this problem, we present in this paper a novel knowledge distillation approach, termed AI-KD that can extend on any existing FIQA technique, improving its robustness to alignment variations and, in turn,…
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13 Mar 2024 1 repository listedIn the realm of face image quality assesment (FIQA), method based on sample relative classification have shown impressive performance.
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13 Mar 2024 1 repository listedBlind image quality assessment (BIQA) approaches, while promising for automating image quality evaluation, often fall short in real-world scenarios due to their reliance on a generic quality standard applied uniformly…
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12 Mar 2024 1 repository listedFor this reason, Face Image Quality Assessment (FIQA) techniques are often used by FR systems, to provide quality estimates of captured face samples.
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14 Feb 2024 1 repository listedAutomated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography.
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25 Jan 2024 1 repository listedAdditional steps based on face recognition and face image quality assessment models reduce false positives, and facilitate the deduplication of the face images both for intra- and inter-subject duplicate sets.
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1 Jan 2024 1 repository listedFurthermore to alleviate the issue of the model placing excessive trust in inaccurate quality anchors we propose a confidence calibration method to correct the quality distribution by exploiting to the fullest extent of…
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22 Dec 2023 1 repository listedFace image quality assessment (FIQA) is crucial for obtaining good face recognition performance.
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24 May 2023 1 repository listedTo help improve the performance and stability of FR systems in such unconstrained settings, face image quality assessment (FIQA) techniques try to infer sample-quality information from the input face images that can aid…
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9 May 2023 1 repository listedIn this paper, we present a powerful new FIQA approach, named DifFIQA, which relies on denoising diffusion probabilistic models (DDPM) and ensures highly competitive results.
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23 Mar 2023 1 repository listedAdditionally, a discard fraction limit or range must be selected to compute pAUC values, which can then be used to quantitatively rank quality assessment algorithms.
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1 Mar 2023 1 repository listedEvaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy.
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1 Jan 2023 1 repository listedFurthermore, we design an easy-to-hard training scheduler based on the inter-domain uncertainty and intra-domain quality margin as well as the ranking-based domain adversarial network to enhance the effectiveness of…
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5 Dec 2022 1 repository listedIn this paper, we propose a novel approach to face image quality assessment, called FaceQAN, that is based on adversarial examples and relies on the analysis of adversarial noise which can be calculated with any FR…
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14 Nov 2022 1 repository listedExisting face restoration models have relied on general assessment metrics that do not consider the characteristics of facial regions.
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3 Jan 2022 1 repository listedThis comparison shows that, even though FaceQgen does not surpass the best existing face quality assessment methods in terms of face recognition accuracy prediction, it achieves good enough results to demonstrate the…
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13 Dec 2021 1 repository listedBased on that, our proposed CR-FIQA uses this paradigm to estimate the face image quality of a sample by predicting its relative classifiability.
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9 Dec 2021 1 repository listedTo avoid the low discrimination between the general spatial activation mapping of low and high-quality images in FR models, we build our explainability tools in a higher derivative space by analyzing the variation of…
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21 Oct 2021 1 repository listedTo achieve this, a model-specific quality value of the input image is estimated and used to build a sample-specific quality regression model.
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10 Mar 2021 1 repository listedThus, we propose a novel unsupervised FIQA method that incorporates Similarity Distribution Distance for Face Image Quality Assessment (SDD-FIQA).
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