Browse State-of-the-Art › Blind Face Restoration
Blind Face Restoration
29 papers with code · 4 benchmarks · 5 datasets archive 2025-07-28
Blind face restoration aims at recovering high-quality faces from the low-quality counterparts suffering from unknown degradation, such as low-resolution, noise, blur, compression artifacts, etc. When applied to real-world scenarios, it becomes more challenging, due to more complicated degradation, diverse poses and expressions.
Description source: Towards Real-World Blind Face Restoration with Generative Facial Prior
Image source: Towards Real-World Blind Face Restoration with Generative Facial Prior
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
Benchmarks archive 2025-07-28
4 leaderboard tables shown for this task, 4 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 |
|---|---|---|---|---|---|
| CelebA-Test (15 rows) | CodeFormer | Towards Robust Blind Face Restoration with Codebook Lookup Transformer | code | — | Compare |
| LFW (9 rows) | DiffBIR | DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior | code | — | Compare |
| WIDER (9 rows) | DiffBIR | DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior | code | — | Compare |
| CelebA-HQ (6 rows) | GPEN | GAN Prior Embedded Network for Blind Face Restoration in the Wild | code | Syntology ran 16 of 21 samples · 5 unverified | 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.
Most implemented papers archive 2025-07-28
29 shown of 29 papers with code (55 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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10 Aug 2019 6 repositories listedWe present a new end-to-end generative adversarial network (GAN) for single image motion deblurring, named DeblurGAN-v2, which considerably boosts state-of-the-art deblurring efficiency, quality, and flexibility.
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11 May 2020 5 repositories listedExisting face restoration researches typically relies on either the degradation prior or explicit guidance labels for training, which often results in limited generalization ability over real-world images with…
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13 May 2021 3 repositories listed Syntology ran 16 of 21 samples · 5 unverified · 21 pointer-only (licence)The proposed GAN prior embedded network (GPEN) is easy-to-implement, and it can generate visually photo-realistic results.
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29 Aug 2023 2 repositories listedWe present DiffBIR, a general restoration pipeline that could handle different blind image restoration tasks in a unified framework.
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13 Dec 2022 2 repositories listedMoreover, the transition distribution can contract the error of the restoration backbone and thus makes our method more robust to unknown degradations.
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8 Jun 2022 2 repositories listedTo address this problem, we first synthesize two blind face restoration benchmark datasets called EDFace-Celeb-1M (BFR128) and EDFace-Celeb-150K (BFR512).
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30 Dec 2024 1 repository listedBlind face restoration aims to recover high-quality facial images from various unidentified sources of degradation, posing significant challenges due to the minimal information retrievable from the degraded images.
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21 Nov 2024 1 repository listedRestorerID is a diffusion model-based method that restores low-quality images with varying levels of degradation by using a single reference image.
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13 Oct 2024 1 repository listedIn this paper, we propose a novel framework, namely AuthFace that achieves highly authentic face restoration results by exploring a face-oriented generative diffusion prior.
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1 Oct 2024 1 repository listed Syntology ran 4 of 10 samples · 6 unverifiedPhoto-realistic image restoration algorithms are typically evaluated by distortion measures (e.
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2 Sep 2024 1 repository listedTo inherit the exceptional realism generative ability of the diffusion model and also constrained by the identity-aware fidelity, we propose a novel diffusion-based framework by embedding the 3D facial priors as…
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12 Mar 2024 1 repository listedWhile diffusion-based image restoration (IR) methods have achieved remarkable success, they are still limited by the low inference speed attributed to the necessity of executing hundreds or even thousands of sampling…
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25 Dec 2023 1 repository listed Syntology ran 11 of 16 samples · 5 unverifiedWe propose BFRffusion which is thoughtfully designed to effectively extract features from low-quality face images and could restore realistic and faithful facial details with the generative prior of the pretrained…
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14 Aug 2023 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)Restoring facial details from low-quality (LQ) images has remained a challenging problem due to its ill-posedness induced by various degradations in the wild.
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14 Aug 2023 1 repository listed Syntology ran 11 of 12 samples · 1 unverifiedIn this work, we propose RestoreFormer++, which on the one hand introduces fully-spatial attention mechanisms to model the contextual information and the interplay with the priors, and on the other hand, explores an…
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18 Jul 2023 1 repository listedAnd with the coarse video, our method synthesizes a coarse talking head avatar with a deforming neural radiance field.
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13 Mar 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)However, it is expensive and infeasible to include every type of degradation to cover real-world cases in the training data.
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15 Oct 2022 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)Generally, it is a challenging and intractable task to improve the photo-realistic performance of blind restoration and adaptively handle the generic and specific restoration scenarios with a single unified model.
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28 Jun 2022 1 repository listedTo this end, we propose a Face Restoration Searching Network (FRSNet) to adaptively search the suitable feature extraction architecture within our specified search space, which can directly contribute to the restoration…
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22 Jun 2022 1 repository listedIn this paper, we demonstrate that a learned discrete codebook prior in a small proxy space largely reduces the uncertainty and ambiguity of restoration mapping by casting blind face restoration as a code prediction…
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13 May 2022 1 repository listed Syntology ran 9 of 15 samples · 6 unverified · 15 pointer-only (licence)Equipped with the VQ codebook as a facial detail dictionary and the parallel decoder design, the proposed VQFR can largely enhance the restored quality of facial details while keeping the fidelity to previous methods.
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17 Jan 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 1 pointer-only (licence)Blind face restoration is to recover a high-quality face image from unknown degradations.
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11 Jan 2021 1 repository listedBlind face restoration usually relies on facial priors, such as facial geometry prior or reference prior, to restore realistic and faithful details.
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12 Oct 2020 1 repository listedFace restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology.
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18 Sep 2020 1 repository listedCompared with previous networks, the proposed PSFR-GAN makes full use of the semantic (parsing maps) and pixel (LQ images) space information from different scales of input pairs.
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2 Aug 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)Next, with the degraded input, we match and select the most similar component features from their corresponding dictionaries and transfer the high-quality details to the input via the proposed dictionary feature…
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1 Jun 2020 1 repository listedFirst, given a degraded observation, we select the optimal guidance based on the weighted affine distance on landmark sets, where the landmark weights are learned to make the guidance image optimized to HQ image…
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15 Dec 2019 1 repository listedSuch an over-parameterization of the latent space significantly improves the image reconstruction quality, outperforming existing competitors.
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13 Apr 2018 1 repository listedFor better recovery of fine facial details, we modify the problem setting by taking both the degraded observation and a high-quality guided image of the same identity as input to our guided face restoration network…
Syntology lines on 10 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.
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