Tengfei WANG

I am currently a researcher at Shanghai AI Lab, working closely with Ziwei Liu . I obtained my PhD degree at the Hong Kong University of Science and Technology (HKUST), advised by Qifeng Chen. I was a research intern at Microsoft Research Asia (MSRA) from 2021 to 2023. I was a research intern at Tencent AI Lab.
I'm interested in AI-based visual content generation including image, video and 3D assets.

Email  /  Github  /  Google Scholar  /  Linked In

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News

  • News (Jul 2023): Two papers accepted to ICCV 2023.
  • News (Fed 2023): Two papers accepted to CVPR 2023, including one highlight paper.
  • News (Mar 2022): One paper accepted to CVPR 2022.
  • News (Dec 2021): One paper accepted to AAAI 2022.
  • News (Jul 2021): Two papers accepted to ICCV 2021, including one oral paper.
  • News (Mar 2021): One paper accepted to CVPR 2021.

Open-Source Projects
OpenLRM: Open-Source Large Reconstruction Models
Zexin He and Tengfei Wang
code / online demo /

Fast image-to-3D generating in a few seconds.

3DTopia: Large Text-to-3D Generation Model

code / online demo / video /

Fast and high-quality text-to-3D generation.

Publications

(* indicates joint first authors)

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang , Gang Zeng, Ziwei Liu
preprint , 2024
arxiv / code / project website / online demo /

Fast and high-resolution 3D generative model with gaussian splatting.

Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
Junshu Tang, Tengfei Wang , Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
ICCV , 2023
arxiv / code / project website / video /

Generate 3D objects from a single image by distilling 3D knowledge from 2D diffusion model.

RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
Tengfei Wang* , Bo Zhang*, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
CVPR, 2023 (Highlight, 2.5% acceptance rate)
arxiv / code / project website / video /

3D diffusion models for automatically generating high-quality 3D digital avatars represented as a neural radiance field.

3D GAN Inversion with Facial Symmetry Prior
Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang , Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Oztireli, Yujiu Yang
CVPR, 2023
arxiv / code / project website /

Pretraining is All You Need for Image-to-Image Translation
Tengfei Wang , Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
technical report, 2022
arxiv / code / project website / online demo /

A simple and universal framework that brings the power of the pretraining to various image-to-image translation tasks.

High-Fidelity GAN Inversion for Image Attribute Editing
Tengfei Wang , Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen
CVPR , 2022
arxiv / code / project website / video / colab / online demo /

A novel GAN inversion framework for high-fidelity image and video editng.

Restorable Image Operators with Quasi-Invertible Networks
Hao Ouyang*, Tengfei Wang* , Qifeng Chen
AAAI , 2022
arxiv / code / project website / video /

A general and unified framework for versatile invertible image processing operators.

Dual-Camera Super-Resolution with Aligned Attention Modules
Tengfei Wang *, Jiaxin Xie *, Wenxiu Sun, Qiong Yan, Qifeng Chen
ICCV , 2021 (Oral Presentation, 3.4% acceptance rate)
arxiv / code / project website / dataset / video /

First real-world dual-camera super-resolution approach.
A new high-quality dataset for dual-camera zoom (telephoto and wide-angle).

Internal Video Inpainting by Implicit Long-range Propagation
Hao Ouyang*, Tengfei Wang*, Qifeng Chen
ICCV , 2021
arxiv / code / project website / dataset / video /

A simple yet effective video inpainting method for videos from arbitrary domain.
No training set and pretrained models are needed.

Image Inpainting with External-internal Learning and Monochromic Bottleneck
Tengfei Wang *, Hao Ouyang *, Qifeng Chen
CVPR , 2021
arxiv / code / project website / video /

A novel internal-learning method for guided image colorization

Services
  • Program Committee/Reviewer: CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, ICML, AAAI, TOG, TPAMI, TVCG, TIP, TMM
  • Assitant Coach of HKUST ACM Team
Selected Awards
  • CSE Best PhD Dissertation Award Honorable Mention, HKUST
  • Postgraduate Scholarship, HKUST
  • National Scholarship, Education Ministry of China
  • Outstanding Student, Beihang University
  • First-Class Scholarship, Beihang University

Thanks to Jon Barron for sharing the code of his personal webpage.

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