Short Bio

Donny (Yuedong) Chen is currently a Research Scientist at ByteDance Seed (Singapore), where he is building 3D & 4D foundation models as part of the Depth Anything Team.

Before this, Donny obtained his PhD degree at Monash University, under the supervision of Prof. Jianfei Cai, Prof. Tat-Jen Cham and Dr. Bohan Zhuang. His PhD research focused on Feed-Forward Novel View Synthesis from Sparse Observations. During his PhD, he was fortunate to collaborate closely with Haofei Xu, Prof. Marc Pollefeys, Prof. Andreas Geiger, Dr. Chuanxia Zheng, Prof. Andrea Vedaldi and Dr. Qianyi Wu.

Previously, he was a Research Assistant at IMI NTU (Singapore), where he worked closely with Prof. Tat-Jen Cham and Prof. Jianfei Cai. During this period, his research focused on enhancing emotion recognition by incorporating human prior knowledge. He also interned at Lenovo Research, collaborating closely with Dr. Jianfeng Wang.

His academic journey began with the completion of both his MEng and BEng degrees at Sun Yat-sen University, where he majored in Software Engineering. Additionally, he spent a semester as an exchange student at National Chi Nan University (Taiwan) during his BEng study, collaborating closely with David Cheng.



Our team has openings for both full-time and internship positions from time to time. If you are interested in conducting 3D/4D vision research with us, please feel free to reach out to me via my company email.

Selected Publications

🤖🧠👌🏼 He prefers simple yet effective solutions

Explicit Correspondence Matching for Generalizable Neural Radiance Fields
TPAMI 2025
Yuedong Chen, Haofei Xu, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai
[arXiv] [code] [project page]
MVSplat360: Feed‑Forward 360 Scene Synthesis from Sparse Views
NeurIPS 2024
Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat‑Jen Cham, and Jianfei Cai
[arXiv] [code] [project page]
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
ECCV 2024 (Oral)
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, and Jianfei Cai
[arXiv] [code] [project page]
MuRF: Multi-Baseline Radiance Fields
CVPR 2024
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, et al.
[arXiv] [code] [project page]
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
ECCV 2022
Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai
[arXiv] [code] [project page] [demo video]
Object-Compositional Neural Implicit Surfaces
ECCV 2022
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, and Jianmin Zheng
[arXiv] [code] [project page] [demo video]
Towards Unbiased Visual Emotion Recognition via Causal Intervention
ACM Multimedia 2022
Yuedong Chen, Xu Yang, Tat-Jen Cham, and Jianfei Cai
[arXiv] [code]
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition
Pattern Recognition 2022
Yuedong Chen, Guoxian Song, Zhiwen Shao, Jianfei Cai, Tat-Jen Cham, and Jianmin Zheng
[arXiv]
Facial Motion Prior Networks for Facial Expression Recognition
VCIP 2019 (Oral)
Yuedong Chen, Jianfeng Wang, Shikai Chen, Zhongchao Shi, and Jianfei Cai
[arXiv] [code]

More on Google Scholar

Projects & Talks

  • 28-01-2025, Invited talk "Feed-forward NVS from Sparse Inputs​" at Amazon, Tel Aviv, hosted by Lior Fritz.
  • 08-11-2024, Invited talk "Feed-forward Novel View Synthesis" at Wayve, London, hosted by Joe Polin.
Invited talk at 3DV25 Nectar Track
Invited talk at AJCAI 2024
Oral presentation at ECCV 2024
Invited talk at SHUZIHUANYU
Invited talk at 3DCVer
Demo at Monash Uni. Open Day 2022
A popular replication of GANimation

Miscellanies

  • Conference Reviewer: ECCV('24), CVPR('23-'25), ICCV('23), NeurIPS('24-'25), ICLR('25), ICML('25), 3DV('24-'25), AAAI('24-'26), ACMMM('21‑'24), ACCV('24), ISMAR('23-'24), IEEEVR('24)
  • Journal Reviewer: TPAMI, IJCV, TIP, TVCG, TMM, TCSVT, TOMM, TVCJ, Computers & Graphics, The Visual Computer
  • He is a native speaker of Teochew, fluent in English, Mandarin, Cantonese, and also familiar with Singlish.