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HTTP/2 301 server: GitHub.com content-type: text/html location: https://wuqianyi.top/ x-github-request-id: 6CB9:3157C7:931D07:A52BEC:6952DF7D accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 20:07:26 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210029-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767038846.958578,VS0,VE197 vary: Accept-Encoding x-fastly-request-id: 5044eb419daa589b4ad2bdcef44e88013bc40840 content-length: 162 HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Sun, 20 Oct 2024 18:36:28 GMT access-control-allow-origin: * etag: W/"67154dac-762d" expires: Mon, 29 Dec 2025 20:17:26 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 6748:1387E:936CC5:A57D96:6952DF7E accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 20:07:26 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210040-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767038846.210937,VS0,VE207 vary: Accept-Encoding x-fastly-request-id: e99aa2d849f4896b0abd4bd7b96abfea8aa0efed content-length: 7449 Qianyi Wu

Qianyi Wu ("吴潜溢" in Chinese)
Email : wqy9619 [at] gmail.com
Github Resume Scholar Twitter

About Me

Qianyi Wu is a PhD student at Monash University, Department of Data Science and AI. Qianyi received B.S. degree in Special Class for the Gifted Youth at University of Science and Technology of China (USTC) in 2016. He received M.Sc degree from Graphics and Geometric Computing Laboratory of the School of Mathematical Sciences at USTC in 2019, under the supervision of Prof. Juyong Zhang. He spent one year as a research intern at Nanyang Technological University, mentored by Prof. Jianfei Cai and Prof. Jianmin Zheng. He worked as a research scientist at SenseTime from 2019 to 2021, working closely with Dr. Wayne Wu.

News

Expected graduation in the spring/summer of 2025, open to research scientist and postdoc positions (email, CV).
2024: 2 NeurIPS, 5 ECCV, 2 CVPR are accepted.
2023: 1 ICCV, 1 SIGGRAPH, 1 AAAI are accepted.
2022: 1 NeurIPS, 3 ECCV, 2 CVPR, 2 SIGGRAPH/SIGGRAPH Asia, 1 MICCAI are accepted.
07/21: After two wonderful years in SenseTime, I start pursuing my PhD at Monash University! 🐨
2020: 1 ECCV, 1 NeurIPS are accepted.
2019: 1 CVPR is accepted.
2018: 1 CVPR spotlight is accepted.

Selected Publications, more in Google Scholar

Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints.
Qianyi Wu, Jianmin Zheng, Jianfei Cai
European Conference on Computer Vision (ECCV), 2024
[PDF] [Project Page] [Code]

HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
European Conference on Computer Vision (ECCV), 2024
[PDF] [Project Page] [Code]

GScream: Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal
Yuxin Wang, Qianyi Wu, Guofeng Zhang, Dan Xu
European Conference on Computer Vision (ECCV), 2024
[PDF] [Project Page] [Code]

PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion
Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu
European Conference on Computer Vision (ECCV), 2024
[PDF] [Project Page] [Code]

ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition
Tianhao Wu, Chuanxia Zheng, Tat Jen Cham, Qianyi Wu
European Conference on Computer Vision (ECCV), 2024
[PDF] [Project Page]

Har Far Can We Compress Instant-NGP-Based NeRF?
Yihang Chen, Qianyi Wu, Mehrtash Harandi, Jianfei Cai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF] [Project Page] [Code]

Taming Stable Diffusion for Text to 360° Panorama Image Generation.
Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella, Xiaoshui Huang, Dinh Phung, Wanli Ouyang, Jianfei Cai
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Highlight Presentation

[PDF] [Project Page] [Code]

ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces.
Qianyi Wu, Kaisiyuan Wang, Kejie Li, Jianmin Zheng, Jianfei Cai
International Conference on Computer Vision (ICCV), 2023
[PDF] [Project Page] [Code]

Explicit Correspondence Matching for Generalizable Neural Radiance Fields.
Yuedong Chen, Haofei Xu, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
arxiv
[PDF] [Project Page] [Code]

Efficient Video Portrait Reenactment via Grid-based Codebook.
Kaisiyuan Wang, Hang Zhou, Qianyi Wu, Jiaxiang Tang, Zhiliang Xu, Borong Liang, Tianshu Hu, Errui Ding, Jingtuo Liu, Ziwei Liu, Jingdong Wang
ACM SIGGRAPH 2023 (Conference Proceedings)
[PDF] [Project Page] [Code]

Audio-Driven Co-Speech Gesture Image Generation.
Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu
Neural Information Processing Systems (NeurIPS), 2022

Spotlight Presentation

[PDF] [Project Page] [Code]

Object-Compositional Neural Implicit Surfaces.
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng
European Conference on Computer Vision (ECCV), 2022
[PDF] [Project Page] [Code]

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields.
Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
European Conference on Computer Vision (ECCV), 2022
[PDF] [Project Page] [Code]

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation.
Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou
European Conference on Computer Vision (ECCV), 2022

Oral Presentation

[PDF] [Project Page] [Code]

EAMM: One-Shot Emotional Talking Face via Audio-Based Emotion-Aware Motion Model.
Xinya Ji, Hang Zhou, Kaisiyuan Wang, Qianyi Wu, Wayne Wu, Feng Xu, Xu Cao
ACM SIGGRAPH 2022 (Conference Proceedings)
[PDF] [Project Page] [Code]

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation.
Xian Liu, Qianyi Wu, Hang Zhou, Yinghao Xu, Rui Qian, Xinyi Lin, Xiaowei Zhou, Wayne Wu, Bo Dai, Bolei Zhou
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF] [Project Page] [Code]

MEAD: A Large-scale Audio-visual Dataset for Emotional Talking Face Generation.
Kaisiyuan Wang*, Qianyi Wu*, Linsen Song*, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy
European Conference on Computer Vision (ECCV), 2020
[PDF] [Project Page] [Code]

Disentangled Representation Learning for 3D Face Shape
Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[PDF] [Code]

Alive Caricature from 2D to 3D.
Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Spotlight Presentation

[PDF] [Data]

Industrial experience

SenseAR DigitalHuman - Audio-Driven Virtual Human
SenseAR Digital Human is a human-like intelligent multi-modal interactive system. As a primary member, my colleagues and I research and develop several key algorithms for audio-driven virtual human.
[Product] [Press(China Daily)]

Awards

National Scholarship, USTC, 2018.

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