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. I've received HKUST CSE Best PhD Dissertation Award (Honorable Mention) in 2023.

Email / Github / Google Scholar / Linked In

News

News (Jul 2024): Three papers accepted to ECCV 2024, including one oral paper.
News (Apr 2024): One paper accepted to SIGGRAPH 2024.
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

arxiv / code / online demo / video /

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

3DTopia-XL: High-Quality 3D PBR Asset Generation via Primitive Diffusion

arxiv / code / project website / online demo / video /

3D DiT with Primirive Representation.

Publications

(*equal contribution, †intern)

	Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion Zhenwei Wang†, Tengfei Wang , Zexin He†, Gerhard Hancke, Ziwei Liu, Rynson W.H. Lau preprint , 2024 arxiv / code / project website / video / A 3D diffusion model with RAG, supporting 3D generation from text, image, and existing 3D models.
	Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation Mengchen Zhang†, Tong Wu, Tai Wang, Tengfei Wang , Ziwei Liu, Dahua Lin ECCV , 2024 arxiv / code / video / data / A large and realistic dataset for 6D pose estimation.
	LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang , Gang Zeng, Ziwei Liu ECCV , 2024 (Oral Presentation) arxiv / code / project website / online demo / Fast and high-resolution 3D generative model with 3D gaussian splattings.
	ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance Yongwei Chen†, Tengfei Wang , Tong Wu, Xingang Pan, Kui Jia, Ziwei Liu ECCV , 2024 arxiv / project website / Image-to-3D for compositional scenes and objects.
	ThemeStation : Generating Theme-Aware 3D Assets from Few Exemplars Zhenwei Wang†, Tengfei Wang , Gerhard Hancke, Ziwei Liu, Rynson W.H. Lau ACM SIGGRAPH , 2024 arxiv / code / project website / video / Create a gallery of 3D assets with a consistent theme via 3D-to-3D generation.
	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 / The first 3D diffusion model for 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 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 domains. 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
	High-Quality Visual Content Creation with Foundation Generative Models Tengfei Wang PHD THESIS , 2023 link / HKUST CSE Best Dissertation Award Honorable Mention

Services

Program Committee/Reviewer: CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, AAAI, 3DV, TOG, TPAMI, IJCV, TVCG, TIP, TMM
Assitant Coach of HKUST ACM Team (2019-2023)

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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