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cs.CV2026

Resolving Endpoint Underfitting in Diffusion Bridges via Noise Alignment

Yurong Gao, Zicheng Zhang, Congying Han +2

Diffusion bridge models offer a powerful framework for connecting two data distributions, such as in image restoration and translation. Many existing methods learn this bridge by m…

cs.CV2024

DR-BFR: Degradation Representation with Diffusion Models for Blind Face Restoration

Xinmin Qiu, Bonan Li, Zicheng Zhang +2

Blind face restoration (BFR) is fundamentally challenged by the extensive range of degradation types and degrees that impact model generalization. Recent advancements in diffusion…

cs.CV2024

BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering

Xinmin Qiu, Congying Han, Zicheng Zhang +4

Developing blind video deflickering (BVD) algorithms to enhance video temporal consistency, is gaining importance amid the flourish of image processing and video generation. Howeve…

cs.CV2023

DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration

Xinmin Qiu, Congying Han, Zicheng Zhang +3

Blind face restoration (BFR) is important while challenging. Prior works prefer to exploit GAN-based frameworks to tackle this task due to the balance of quality and efficiency. Ho…

cs.CV2023

StyO: Stylize Your Face in Only One-shot

Bonan Li, Zicheng Zhang, Xuecheng Nie +4

This paper focuses on face stylization with a single artistic target. Existing works for this task often fail to retain the source content while achieving geometry variation. Here,…