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Yinghao Xu (Justin)
Postdoc Scholar
Department of Electrical Engineering
Stanford University
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Biography
I am a postdoc researcher at Stanford University working with Prof. Gordon Wetzstein. My current research focuses on 3D generative models and large reconstruction model.
Previously, I am also very interested in 2D image editing and representation learning.
I obtained my Ph.D. degree from CUHK Multimedia Lab (MMLab) supervised by Prof. Bolei Zhou and Prof. Dahua Lin, and a BSc from Zhejiang University, working with Dr. Lechao Cheng and Prof. Chunguang Li. In 2018, I also spent a summer interning at UC San Diego, working with Prof. Hao Su.
Invited Talks
- [03/2024]
Peking University, Host by Prof. Baoquan Chen.
Large Reconstruction Model for Efficient 3D Reconstruction and Generation.
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NTU: 3D Generation from Unstructured Single-View Data.
2023
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Games Seminar: 3D Generation from Unstructured Single-View Data.
2023
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Adobe Research: 3D Generation from Unstructured Single-View Data.
2023
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Stanford Computational Imaging Lab: Towards Efficient and High-Quality 3D-Aware Image
Synthesis.
2022
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TechBeat: 3D-aware Image Synthesis via Learning Structural and Textural Representations.
2022
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AI TIME: Learning Deep Representations by Unifying Discriminative and Generative Models.
2021
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TechBeat: Generative Hierarchical Features from Synthesizing Images.
2021
News
- [01/2024]
Three papers are accepted by ICLR 2024! DMV3D and PF-LRM are awared as spotlight presentation!
- [12/2023]
Two papers got accepted by NeurIPS 2023 and one paper is accpeted by 3DV
2024 as spotlight presentation.
- [07/2023]
The extension of IDinvert and NeuralBody are accepted by TPAMI!
- [06/2023]
Genda is finally accepted by ICCV 2023.
- [06/2023]
Starting my summer internship at Adobe. See you in San Jose!
- [06/2023]
Defended Ph.D. thesis successfully!
- [03/2023]
DiscoScene gets three strong accept and is selected as the Highlight paper!
- [02/2023]
Three papers are accepted by CVPR 2023!
- [01/2023]
Two papers with one oral (3DGP), are accepted by ICLR 2023!
- [11/2022]
The extension of GHFeat got accepted by TPAMI.
- [10/2022]
We post the
survey on 3D generative models.
- [09/2022]
Two papers, with one spotlight, will appear at NeurIPS 2022.
- [07/2022]
Give a talk about 3D generative models at Stanford Computational Imaging Lab.
- [07/2022]
SSP-NeRF (Oral) and PadInv are accepted by ECCV 2022.
- [05/2022]
ReSeFa is accepted by ICML 2022.
- [03/2022]
CMPL is accepted as an oral paper by CVPR 2022.
- [03/2022] We are collecting studies on 3D generation, based on which we hope to provide an overview of this field and a better understanding on its evolution. Please stay tuned!
- [03/2022]
Four papers are accepted by CVPR 2022.
- [02/2022] We release Hammer, a sufficiently upgraded version of GenForce, for training deep models. StyleGAN2, StyleGAN2-ADA, and StyleGAN3 are fully supported.
- [09/2021]
One paper to appear in NeurIPS 2021. It is my first NeurIPS paper.
- [03/2021]
One paper about object-level nerf is accepted by ICCV 2021.
- [03/2021]
Two papers (one oral and one best paper candidate) to appear in CVPR 2021.
- [09/2020]
We release GenForce, an efficient PyTorch library for deep generative modeling.
Experiences
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Research Intern, Adobe Research
Jun. 2023 - Sep. 2023
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Visiting Research Scholar, Stanford University
Jan. 2023 - Apr. 2023
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Research Intern, Snap Inc.
Jul. 2022 - Oct. 2022
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Research Intern, Ant Research
Jan. 2022 - May. 2022
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Research Intern, ByteDance Inc.
Jul. 2021 - Feb. 2021
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Student Researcher, MSRA
Mar. 2021 - Jun. 2021
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Research Intern, MSRA
Nov. 2018 - May. 2019
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Research Assitant, UCSD
Jul. 2018 - Oct. 2018
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Professional Activities
- Reviewer for CVPR, ECCV, AAAI, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH, TVCG, SIGGRAPH ASIA
Selected Honors & Awards
- National Scholarship
2018
- Tang Lixin Scholarship
2018
- First Class Scholarship for Academic Excellence
2018, 2017
- Government Scholarship of Zhejiang Province
2017, 2016
- Meritorious Winner, Interdisciplinary Contest In Modeling(ICM)
2018
- First Prize of Mathematics Competition of Chinese College Students
2017
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