Browse State-of-the-Art › Facial Inpainting
Facial Inpainting
23 papers with code · 3 benchmarks · 5 datasets archive 2025-07-28
Facial inpainting (or face completion) is the task of generating plausible facial structures for missing pixels in a face image.
( Image credit: SymmFCNet )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 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 |
|---|---|---|---|---|---|
| FFHQ (1 row) | DMFN | Image Fine-grained Inpainting | code | — | Compare |
| VggFace2 (1 row) | SymmFCNet (Full) | Learning Symmetry Consistent Deep CNNs for Face Completion | code | — | Compare |
| WebFace (1 row) | SymmFCNet (Full) | Learning Symmetry Consistent Deep CNNs for Face Completion | 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
5 datasets 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
23 shown of 23 papers with code (60 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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18 Feb 2019 4 repositories listedWe present a novel image editing system that generates images as the user provides free-form mask, sketch and color as an input.
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7 Feb 2020 3 repositories listedBesides, we devise a geometrical alignment constraint item to compensate for the pixel-based distance between prediction features and ground-truth ones.
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17 May 2024 2 repositories listedOur dataset of masked faces with mask region labels and source code will be available online.
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18 Mar 2024 2 repositories listedWe further improve the StyleGAN output to find the optimal code in the latent space using a new optimization for GAN inversion technique.
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23 Oct 2023 2 repositories listedBased on this disentanglement, face swapping can be simplified as style and mask swapping.
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12 Apr 2023 2 repositories listedBy using ~40 reference images, PATMAT creates anchor points in MAT's style module, and tunes the model using the fixed anchors to adapt the model to a new face identity.
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13 Mar 2023 2 repositories listedTo introduce strong control for face inpainting, we propose a novel reference-guided face inpainting method that fills the large-scale missing region with identity and texture control guided by a reference face image.
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19 Apr 2017 2 repositories listedIn this paper, we propose an effective face completion algorithm using a deep generative model.
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10 Sep 2024 1 repository listedHence, we propose a generative face inpainting method to effectively recover/reconstruct the masked part of a face.
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2 Mar 2024 1 repository listedThe basic framework consists of three components, i.
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11 Dec 2023 1 repository listedWe argue that the denoising process is crucially limited by an accumulation of the reconstruction error due to an initial inaccurate reconstruction of the target data.
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19 Jan 2023 1 repository listedImage inpainting is a technique of completing missing pixels such as occluded region restoration, distracting objects removal, and facial completion.
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9 Jan 2023 1 repository listedNone of the powerful existing models can fill out the missing parts of an image while considering the symmetry and homogeneity of the picture.
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17 Nov 2022 1 repository listedDiffusion models have become the go-to method for many generative tasks, particularly for image-to-image generation tasks such as super-resolution and inpainting.
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19 Sep 2022 1 repository listedRealistic image restoration with high texture areas such as removing face masks is challenging.
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20 Feb 2022 1 repository listedThis paper presents a novel image inpainting framework for face mask removal.
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13 Feb 2022 1 repository listedWe introduce a novel attribute similarity metric to encourage networks to learn the style of facial attributes from the exemplar in a self-supervised way.
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26 Nov 2019 1 repository listedIt is challenging to inpaint face images in the wild, due to the large variation of appearance, such as different poses, expressions and occlusions.
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4 Nov 2019 1 repository listedCombined variations containing low-resolution and occlusion often present in face images in the wild, e.
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16 Aug 2019 1 repository listed Syntology ran 1 of 8 samples · 7 unverifiedWe present Face Swapping GAN (FSGAN) for face swapping and reenactment.
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7 Jun 2019 1 repository listedFace occlusions, covering either the majority or discriminative parts of the face, can break facial perception and produce a drastic loss of information.
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9 Jan 2019 1 repository listedUsing this methodology, this paper shows that overfitting is not detectable in the pure GAN models proposed in the literature, in contrast with those using hybrid adversarial losses, which are amongst the most widely…
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19 Dec 2018 1 repository listedAs for missing pixels on both of half-faces, we present a generative reconstruction subnet together with a perceptual symmetry loss to enforce symmetry consistency of recovered structures.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections