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Found 4 papers, 0 papers with code
DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration
DR-BFR comprises two modules: 1) Degradation Representation Module (DRM): This module extracts degradation representation with content-irrelevant features from LQ faces and estimates a reasonable distribution in the degradation space through contrastive learning and a specially designed LQ reconstruction.
BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering
Developing blind video deflickering (BVD) algorithms to enhance video temporal consistency, is gaining importance amid the flourish of image processing and video generation.
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration
This design is implemented with two key components: 1) Identity Restoration Module (IRM) for preserving the face details in results.
StyO: Stylize Your Face in Only One-shot
And it introduces a novel triple reconstruction loss to fine-tune the pre-trained LDM for encoding style and content into corresponding identifiers; 2) Fine-grained Content Controller (FCC) for the recombination phase.
