🌇 Hi there👋🏻, I am Yunfei (☁️🪽), a senior researcher at International Digital Economy Academy (IDEA). I am now leading an effort on talking head generation, face tracking, humuan video generation, human-centric 3DGS and video content generation research. If you are seeking any form of academic cooperation, please feel free to email me at liuyunfei@idea.edu.cn.

I got my Ph.D. degree from Beihang University, advised by Prof. Feng Lu. Previously, I received my BSc degree in Computer Science from Beijing Institute of Technology in 2017.

My research aims to build multimodal, highly expressive, lifelike, and immersive interactive agents, covering perception, understanding, reconstruction, and generation of humans and the world. Specifically:

  1. 🎑 Scene perception and enhancement: USI3D, SGRRN, SILS.

  2. 👀 Human–environment interaction perception: PnP-GA, GazeOnce, WISWYS.

  3. 😏 2D/3D Head and body reconstruction, animation, and generation: TEASER, GUAVA, GPAvatar, MODA, HRAvatar, DiffSHEG, TokenFace.

  4. 🎞 Image/Video editing and generation: Qffusion, STEM-inv, AddMe.

Previously, I also worked on network interpretability AR/VR, and industrial anomaly detection: Refool, EGNIA, 3DEG, UTAD.

I serve as a reviewer for international conferences and journals, e.g., CVPR, ICCV, NeuIPS, ICLR, ICML, ACM MM, TPAMI, IJCV, PR, TVCG, etc..

👏 We are currently looking for self-motivated interns to explore cutting-edge techniques such as Gaussian Splatting and DM/FM. Feel free to contact me if you are interested. zhihu

🔥 News

  • [July, 2025]:  🎉 One TVCG paper is accepted. Project and demos are coming soon.
  • [July, 2025]:  🎉 I will serve as a Program Committee for AAAI 2026.
  • [June, 2025]:  🎉 Two ICCV papers are accepted. Codes and demos are coming soon.
  • [May, 2025]:  🎉 We introcuce GUAVA, a new Upper Body 3D Gaussian Avatar.
  • [May, 2025]:  🎉 The code of HRAvatar has been released.
  • [March, 2025]:  🎉 The code of TEASER has been released.
  • [February, 2025]:  🎉 Our HRAvatar has been accepted to CVPR 2025.
  • [Jan, 2025]:  🎉 Our TEASER has been accepted to ICLR 2025.

  • [2024]: 5 papers have been accepted by ICLR, CVPR, AAAI, ECCV.
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  • [December, 2024]:  🎉 One <a href=https://aaai.org/Conferences/AAAI-25/>AAAI</a> paper has been accepted.
  • [August, 2024]: I will serve as a Program Committee for <a href=https://aaai.org/conference/aaai/aaai-25/>AAAI 2025</a>.
  • [July, 2024]: One paper is accepted to <a href=https://eccv.ecva.net/virtual/2024/papers.html>ECCV 2024</a>.
  • [February, 2024]: Two <a href=https://cvpr2024.thecvf.com/>CVPR 2024</a> papers have been accepted.
  • [Jan, 2024]:  🎉 Our GPAvatar has been accepted to ICLR 2024.
  • [December, 2023]:  🎉 Our PnP-GA+ has been accepted by TPAMI.
  • [July, 2023]:  🎉 Two ICCV papers have been accepted.
  • [June, 2023]:  🎉 One TPAMI paper has been published.
  • [April, 2023]:  🎉 One CVMJ paper has been accepted.
  • [Mar, 2022]:  🎉 Two CVPR papers have been accepted.

📝 Publications

📩 denotes corresponding author, 📌 denotes co-first author.

ICCV 2025
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GUAVA: Generalizable Upper Body 3D Gaussian Avatar

Dongbin Zhang, Yunfei Liu📩, Lijian Lin, Ye Zhu, Yang Li, Minghan Qin, Yu Li, Haoqian Wang📩

Project | Video

  • ⚡️ Reconstructs 3D upper-body Gaussian avatars from single image in 0.1s
  • ⏱️ Supports real-time expressive animation and novel view synthesis at 50FPS !
CVPR 2025
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HRAvatar: High-Quality and Relightable Gaussian Head Avatar

Dongbin Zhang, Yunfei Liu, Lijian Lin, Ye Zhu, Kangjie Chen, Minghan Qin, Yu Li, Haoqian Wang

Project | Code

  • We propose HRAvatar, a 3D Gaussian Splatting-based method that reconstructs high-fidelity, relightable 3D head avatars from monocular videos by jointly optimizing tracking, deformation, and appearance modeling.
  • By leveraging learnable blendshapes, physically-based shading, and end-to-end optimization, HRAvatar significantly improves head quality and realism under novel lighting conditions.
ICLR 2025
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TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction

Yunfei Liu📌, Lei Zhu📌, Lijian Lin, Ye Zhu, Ailing Zhang, Yu Li

Project | Code

  • A novel approach that achieves more accurate facial expression reconstruction by predicting a hybrid representation of faces from a single image.
  • A multi-scale facial appearance tokenizer and a token-guided neural renderer to generate high-fidelity facial images. The extracted token is interpretable and highly disentangled, enabling various downstream applications.
CVPR 2024
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DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation

Junming Chen, Yunfei Liu, Jianan Wang, Ailing Zeng, Yu Li, Qifeng Chen

Project

  • We propose DiffSHEG, a Diffusion-based approach for Speech-driven Holistic 3D Expression and Gesture generation with arbitrary length.
  • Our diffusion-based co-speech motion generation transformer enables uni-directional information flow from expression to gesture, facilitating improved matching of joint expression-gesture distributions
ICCV 2023
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MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions

Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li

Project

  • We propose a unified system for multi-person, diverse, and high-fidelity talking portrait video generation.
  • Extensive evaluations demonstrate that the proposed system produces more natural and realistic video portraits compared to previous methods.
TPAMI 2023
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First- And Third-person Video Co-analysis By Learning Spatial-temporal Joint Attention

Huangyue Yu, Minjie Cai, Yunfei Liu, Feng Lu

Project | IF=17.730

  • We propose a multi-branch deep network, which extracts cross-view joint attention and shared representation from static frames with spatial constraints, in a self-supervised and simultaneous manner.
  • We demonstrate how the learnt joint information can benefit various applications.
CVPR 2022
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GazeOnce: Real-Time Multi-Person Gaze Estimation

Mingfang Zhang, Yunfei Liu, Feng Lu

Project

  • GazeOnce is the first one-stage endto-end gaze estimation method.
  • This unified framework not only offers a faster speed, but also provides a lower gaze estimation error compared with other SOTA methods.
ICCV 2021
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Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation

Yunfei Liu📌, Ruicong Liu📌, Haofei Wang, Feng Lu

Project

  • PnP-GA is an ensemble of networks that learn collaboratively with the guidance of outliers.
  • Existing gaze estimation networks can be directly plugged into PnP-GA and generalize the algorithms to new domains.
CVPR 2020
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Unsupervised Learning for Intrinsic Image Decomposition from a Single Image

Yunfei Liu, Yu Li, Shaodi You, Feng Lu

Project

  • USI3D is the first intrinsic image decomposition method that learns from uncorrelected image sets.
  • Academic Impact: This work is included by many low-level vision projects, such as Relighting4D , IntrinsicHarmony, DIB-R++. Discussions in Zhihu.
ECCV 2020
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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Yunfei Liu, Xingju Ma, James Bailey, Feng Lu

[Project | (Citations 750+)]

  • We present a new type of backdoor attack: natural reflection phenomenon.
  • Academic Impact: This work is included by many backdoor attack/defense works, Such as NAD . This work is at the first place at google scholar .

🎖 Honors and Awards

  • Shenzhen Artificial Intelligence Natural Science Award, 2023

  • Shenzhen Pengcheng special talent award, 2023

ICCV 2019 Workshop
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Winner of Hyperspectral City Challenge 1.0, Rank: 1.

Yunfei Liu

Project

  • Adopt adopts multi-channel multi-spectum data to guide semantic segmentation for cityscapes.
CADC 2015
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Vertical Take-Off and Landing (VTOL) track. First prize

Yunfei Liu, Changjing Wang, Chao Ma, Haonan Zheng, Yongzhen Pan.

Project

  • China Aeromodelling Design Challenge. Vertical Take-Off and Landing (VTOL) track. First prize, Rank: 6/70.
  • 2021.10 National Scholarship.
  • 2021.11 Principal scholarship.

📖 Educations

  • 2017.09 - 2022.11, Beihang University, School of Computer Science and Engineering, State Key Labratory of Virtual Reality Technology and Systems.
  • 2013.08 - 2017.06, Beijing Insitute of Technology, School of Computer Science and Technology.

💬 Invited Talks

  • 2021.06, Visual intelligence for enhanced perception, Huawei internal talk
  • 2021.06, Digital Image Processing, Beihang international class
  • 2020.06, Deep learning interpretability, Meituan internal talk

💻 Internships

  • 2022.03 - 2022.10, IDEA, Vistring Lab, Shenzhen, China.
  • 2016.07 - 2017.05, DJI, Visual Perception Group, Shenzhen, China.
Last updated on June. 2025