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20212026
most citedGeneralized One-shot Domain Adaptation of Generative Adversarial Networks

11 citations · 14 across the 10 of their papers we have counts for

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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

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.CV2024

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis

Zicheng Zhang, Ruobing Zheng, Ziwen Liu +7

Recent works in implicit representations, such as Neural Radiance Fields (NeRF), have advanced the generation of realistic and animatable head avatars from video sequences. These i…

cs.CV20237 cited

Towards Consistent Video Editing with Text-to-Image Diffusion Models

Zicheng Zhang, Bonan Li, Xuecheng Nie +3

Existing works have advanced Text-to-Image (TTI) diffusion models for video editing in a one-shot learning manner. Despite their low requirements of data and computation, these met…

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.CV20231 cited

Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization

Zicheng Zhang, Yinglu Liu, Congying Han +3

Recent advances in 3D scene representation and novel view synthesis have witnessed the rise of Neural Radiance Fields (NeRFs). Nevertheless, it is not trivial to exploit NeRF for t…