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20192022
most citedGeneralized One-shot Domain Adaptation of Generative Adversarial Networks

11 citations · 30 across the 6 of their papers we have counts for

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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…

cs.CV202211 cited

Generalized One-shot Domain Adaptation of Generative Adversarial Networks

Zicheng Zhang, Yinglu Liu, Congying Han +3

The adaptation of a Generative Adversarial Network (GAN) aims to transfer a pre-trained GAN to a target domain with limited training data. In this paper, we focus on the one-shot c…

cs.CV2022

PetsGAN: Rethinking Priors for Single Image Generation

Zicheng Zhang, Yinglu Liu, Congying Han +3

Single image generation (SIG), described as generating diverse samples that have similar visual content with the given single image, is first introduced by SinGAN which builds a py…

cs.CV2021

FasterPose: A Faster Simple Baseline for Human Pose Estimation

Hanbin Dai, Hailin Shi, Wu Liu +3

The performance of human pose estimation depends on the spatial accuracy of keypoint localization. Most existing methods pursue the spatial accuracy through learning the high-resol…

cs.CV2021

Towards NIR-VIS Masked Face Recognition

Hang Du, Hailin Shi, Yinglu Liu +2

Near-infrared to visible (NIR-VIS) face recognition is the most common case in heterogeneous face recognition, which aims to match a pair of face images captured from two different…

cs.CV2021

AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing

Gusi Te, Wei Hu, Yinglu Liu +2

Face parsing infers a pixel-wise label to each facial component, which has drawn much attention recently. Previous methods have shown their success in face parsing, which however o…