Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images
Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang
2020Year
14Top-tier citations
Abstract
The rotated faces synthesized by our approach on CelebA-HQ dataset. The first row is the input and the second row is our result. It can be observed that our unsupervised framework produces near photo-realistic results even under extreme poses and expressions.
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Install the CLIlune papers fulltext 7b0015a3-5366-4fa2-8a49-5efcae1272daCited by top-tier papers14
- HeadGAN: One-shot Neural Head Synthesis and EditingMichail Christos Doukas, Stefanos Zafeiriou, Viktoriia SharmanskaICCV 2021 · 164 citations
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- Expressive Talking Head Generation with Granular Audio-Visual ControlBorong Liang, Yan Pan, Zhizhi Guo, Hang Zhou et al.CVPR 2022 · 114 citations
- Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN InversionJinsong Chen, Hu Han, Shiguang ShanAAAI 2022 · 8 citations
- Learning to Restore 3D Face from In-the-Wild Degraded ImagesZhenyu Zhang, Yanhao Ge, Ying Tai, Xiaoming Huang et al.CVPR 2022 · 4 citations
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