Blind Face Restoration
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Benchmarks
Most implemented
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment
GAN Prior Embedded Network for Blind Face Restoration in the Wild
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
DifFace: Blind Face Restoration with Diffused Error Contraction
Blind Face Restoration: Benchmark Datasets and a Baseline Model
Papers
CFRNet: Cycle-Consistent Fixed-Point Training for Real-Time Blind Face Restoration on Consumer Embedded NPUs
Blind face restoration on consumer devices has to balance image quality against speed and memory. Strong methods such as GFPGAN and CodeFormer give good perceptual quality, but they rely on large pretrained generative pr…
Blind Face RestorationIConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration
Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing from the degraded input. Same-identity references reduce this ambiguity, but mismatched pose, expression…
Blind Face RestorationA2BFR: Attribute-Aware Blind Face Restoration
Blind face restoration (BFR) aims to recover high-quality facial images from degraded inputs, yet its inherently ill-posed nature leads to ambiguous and uncontrollable solutions. Recent diffusion-based BFR methods improv…
Blind Face RestorationBridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration
Blind face restoration remains a persistent challenge due to the inherent ill-posedness of reconstructing holistic structures from severely constrained observations. Current generative paradigms, while capable of synthes…
Blind Face RestorationGeneralized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
Evidential deep learning (EDL) models, based on Subjective Logic, introduce a principled and computationally efficient way to make deterministic neural networks uncertainty-aware. The resulting evidential models can quan…
Blind Face RestorationMeasurement-Constrained Sampling for Text-Prompted Blind Face Restoration
Blind face restoration (BFR) may correspond to multiple plausible high-quality (HQ) reconstructions under extremely low-quality (LQ) inputs. However, existing methods typically produce deterministic results, struggling t…
Blind Face Restoration