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Tianxiang Ma

Ph.D. Candidate
Center for Research on Intelligent Perception and Computing
National Lab of Pattern Recognition

Google Scholar  |  GitHub  |  Zhihu
Email: tianxiang.ma at cripac dot ia dot ac dot cn
Address: 95, Zhongguancun East Road, Beijing 100190, China

Biography

I am a Ph.D. Candidate of CRIPAC (led by Prof. Tieniu Tan), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA) under the supervision of Prof. Tieniu Tan and Prof. Jing Dong. Before that, I received my Bachelor degree from Zhengzhou University (ZZU) in 2019 under the supervision of Prof. Ronghui Luo and Dr. Yongzhi Tian. My current research interests mainly lie in the fields of deep learning and computer vision, especially Generative Adversarial Model, NeRF, Diffusion Model, and AIGC.

Education

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University of Chinese Academy of Sciences (UCAS)                                 Sep. 2019 - Now
Ph.D. in Computer Applied Technology
Advisor: Prof. Tieniu Tan and Prof. Jing Dong


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Zhengzhou University (ZZU)                                                                       Sep. 2015 - Jun. 2019
B.Eng. in Electronic Science and Technology, Ranking: 1/93, GPA: 3.7/4.0
Advisors: Prof. Ronghui Luo and Dr. Yongzhi Tian

Publications

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Free-style and Fast 3D Portrait Synthesis
Tiangxiang Ma, Kang Zhao, Jianxin Sun, Jing Dong, and Tieniu Tan
arXiv
PDF | Project

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GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images
Tiangxiang Ma, Bingchuan Li, Qian He, Jing Dong, and Tieniu Tan
International Conference on Computer Vision (ICCV), 2023
PDF

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Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
Tiangxiang Ma, Bingchuan Li, Qian He, Jing Dong, and Tieniu Tan
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral
PDF | Code

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CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Image Translation
Tiangxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, and Tieniu Tan
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral
PDF

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ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing
Bingchuan Li, Tiangxiang Ma, Peng Zhang, Miao Hua, Wei Liu, Qian He, and Zili Yi
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023 Oral
PDF

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AdaDeId: Adjust Your Identity Attribute Freely
Tiangxiang Ma, Dongze Li, Wei Wang, and Jing Dong
IEEE Conference on International Conference on Pattern Recognition (ICPR), 2022
PDF

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CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation
Tiangxiang Ma, Dongze Li, Wei Wang, and Jing Dong
arXiv
PDF

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DesignerGAN: Sketch Your Own Photo
Binghao Zhao, Tiangxiang Ma, Bo Peng, and Jing Dong
IEEE Conference on International Conference on Pattern Recognition (ICPR), 2022
PDF

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MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Tiangxiang Ma, Bo Peng, Wei Wang, and Jing Dong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
PDF | Code

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Any-to-one Face Reenactment Based on Conditional Generative Adversarial Network
Tiangxiang Ma, Bo Peng, Wei Wang, and Jing Dong
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
PDF

Selected Honors and Awards

Academic Services

Journal Reviewer

Conference Reviewer