SOTAVerified

Blind Face Restoration

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

Papers

Showing 110 of 55 papers

TitleStatusHype
LAFR: Efficient Diffusion-based Blind Face Restoration via Latent Codebook Alignment Adapter0
TD-BFR: Truncated Diffusion Model for Efficient Blind Face Restoration0
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond0
InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration0
InfoBFR: Real-World Blind Face Restoration via Information Bottleneck0
Binary Diffusion Probabilistic Model0
FaceMe: Robust Blind Face Restoration with Personal Identification0
Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration0
Visual Style Prompt Learning Using Diffusion Models for Blind Face RestorationCode1
RestorerID: Towards Tuning-Free Face Restoration with ID PreservationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PULSEFID64.86Unverified
2DFDNetFID62.57Unverified
3GPENFID57.58Unverified
4GLEANFID53.49Unverified
5CodeFormerFID52.02Unverified
6PSFRGANFID51.89Unverified
7GFP-GANFID49.96Unverified
8DAEFRFID47.53Unverified
9DiffBIRFID39.58Unverified