Donny (Yuedong) Chen is currently a Research Scientist at ByteDance Seed (Singapore), where he is building 3D & 4D foundation models. ALL VIEWS ARE SOLELY HIS OWN (DISCLAIMER).
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 Institute for Media Innovation, NTU (Singapore). During this period, his research focused on enhancing emotion recognition by incorporating human prior knowledge.
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 full time and internship positions from time to time. If you are interested in joining us for 3D/4D vision research, please feel free to reach out to me via my company email after reading the disclaimer.
🤖🧠👌🏼 He prefers simple yet effective solutions
* indicates Equal Contribution
Depth Anything 3: Recovering the Visual Space from Any Views
Tech Report 2025
Haotong Lin*, Sili Chen*, Jun Hao Liew*, Donny Y. Chen*, Zhenyu Li, Guang Shi, Jiashi Feng, Bingyi Kang*
Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting
3DV 2026
Duochao Shi*, Weijie Wang*, Donny Y. Chen, Zeyu Zhang, Jia-Wang Bian, and Bohan Zhuang
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
NeurIPS 2025
Weijie Wang, Donny Y. Chen, Zeyu Zhang, Duochao Shi, Akide Liu, and Bohan Zhuang
Explicit Correspondence Matching for Generalizable Neural Radiance Fields
TPAMI 2025
Yuedong Chen, Haofei Xu, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai
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
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
MuRF: Multi-Baseline Radiance Fields
CVPR 2024
Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, et al.
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
ECCV 2022
Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, and Jianfei Cai
Object-Compositional Neural Implicit Surfaces
ECCV 2022
Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, and Jianmin Zheng
- 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.
Oral presentation at ECCV 2024
Invited talk at SHUZIHUANYU
- Conference Reviewer: ECCV('24), CVPR('23-'26), ICCV('23-'25), NeurIPS('24-'25), ICLR('25-'26), ICML('25), 3DV('24-'26), 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
- Donny is a native speaker of Teochew, fluent in English, Mandarin, Cantonese, and also familiar with Singlish.
ALL OPINIONS AND VIEWS EXPRESSED ON THIS PAGE ARE SOLELY HIS OWN AND SHALL NOT BE INTERPRETED AS REPRESENTING OR IMPUTING THE VIEWS, POSITIONS, POLICIES, OR OFFICIAL COMMUNICATIONS OF HIS EMPLOYER. NO STATEMENT, COMMENT, OR MATERIAL PRESENTED HERE SHALL BE CONSTRUED AS PROFESSIONAL ADVICE OR AS ANY FORM OF AUTHORIZED ENDORSEMENT BY THE COMPANY. HE DOES NOT ENGAGE IN, NOR SHALL HE RESPOND TO, ANY INQUIRIES OR COMMUNICATIONS PERTAINING TO CONFIDENTIAL INFORMATION, INTERNAL PROJECTS, PROPRIETARY MATERIALS, OR ANY MATTERS THAT MAY AFFECT OR POTENTIALLY CONFLICT WITH THE INTERESTS OF HIS EMPLOYER. ALL REQUESTS FOR RESEARCH COOPERATION, FORMAL COLLABORATION, OR OTHER OFFICIAL ENGAGEMENTS MUST BE DIRECTED EXCLUSIVELY TO THE COMPANY THROUGH ITS DESIGNATED CHANNELS.
