Papers in 2022

SIGGRAPH Asia 2022 (ToG)
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IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis

Jingxiang Sun, Xuan Wang, Yichun Shi, Lizhen Wang, Jue Wang, Yebin Liu

Project |

  • We propose the IDE-3D, a locally disentangled, semantics-aware 3D face generator which supports interactive 3D face synthesis and local editing. Our method supports various free-view portrait editing tasks with the state-of-the-art performance in photorealism and efficiency.
SIGGRAPH Asia 2022 (ToG)
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Neural Parameterization for Dynamic Human Head Editing

Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro Sander

Project |

  • Neural Parameterization (NeP), a hybrid representation that provides the advantages of both implicit and explicit methods.
SIGGRAPH Asia 2022 (Conf)
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VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

Kun Cheng, Xiaodong Cun, Yong Zhang, Menghan Xia, Fei Yin, Mingrui Zhu, Xuan Wang, Jue Wang, Nannan Wang

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  • VideoReTalking, a new system to edit the faces of a real-world talking head video according to an input audio, producing a high-quality and lip-syncing output video even with a different emotion.
ECCV 2022
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StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN

Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang

Project |

  • We propose a novel unified framework based on a pre-trained StyleGAN that enables a set of powerful functionalities, i.e., high-resolution video generation, disentangled control by driving video or audio, and flexible face editing.
CVPR 2022
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FENeRF: Face Editing in Neural Radiance Fields

Jingxiang Sun, Xuan Wang$^\dagger$, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang

Project |

  • The first portrait image generator that is locally editable and strictly view-consistent.
CVPR 2022
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HDR-NeRF: High Dynamic Range Neural Radiance Fields

Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang

Project |

  • High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover an HDR radiance field from a set of low dynamic range (LDR) views with different exposures.
CVPR 2022
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Hallucinated Neural Radiance Fields in the Wild

Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Feng Ying, Xuan Wang, Jue Wang

Project |

  • An appearance hallucination module to handle time-varying appearances and transfer them to novel views.
CVPR 2022
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Deblur-NeRF: Neural Radiance Fields from Blurry Images

Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V Sander

Project |

  • The first method that can recover a sharp NeRF from blurry input.