Search Results for author: Yingying Deng

Found 7 papers, 4 papers with code

CapHuman: Capture Your Moments in Parallel Universes

1 code implementation1 Feb 2024 Chao Liang, Fan Ma, Linchao Zhu, Yingying Deng, Yi Yang

Moreover, we introduce the 3D facial prior to equip our model with control over the human head in a flexible and 3D-consistent manner.

Image Generation

$Z^*$: Zero-shot Style Transfer via Attention Rearrangement

no code implementations25 Nov 2023 Yingying Deng, Xiangyu He, Fan Tang, WeiMing Dong

Despite the remarkable progress in image style transfer, formulating style in the context of art is inherently subjective and challenging.

Style Transfer

StyTr2: Image Style Transfer With Transformers

3 code implementations CVPR 2022 Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu

The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.

Style Transfer

StyTr$^2$: Image Style Transfer with Transformers

4 code implementations30 May 2021 Yingying Deng, Fan Tang, WeiMing Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu

The goal of image style transfer is to render an image with artistic features guided by a style reference while maintaining the original content.

Style Transfer

Arbitrary Video Style Transfer via Multi-Channel Correlation

no code implementations17 Sep 2020 Yingying Deng, Fan Tang, Wei-Ming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu

Towards this end, we propose Multi-Channel Correction network (MCCNet), which can be trained to fuse the exemplar style features and input content features for efficient style transfer while naturally maintaining the coherence of input videos.

Style Transfer Video Style Transfer

Arbitrary Style Transfer via Multi-Adaptation Network

2 code implementations27 May 2020 Yingying Deng, Fan Tang, Wei-Ming Dong, Wen Sun, Feiyue Huang, Changsheng Xu

Arbitrary style transfer is a significant topic with research value and application prospect.

Disentanglement Style Transfer

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