I am currently serving as an Algorithm Expert at DAMO Academy, Alibaba Group, based in Hangzhou, where I have had the privilege of receiving guidance from Prof. Qixing Huang and Prof. Tan Ping.

I earned my Bachelor’s degree (2010–2015) from Chongqing Medical University and completed my Ph.D. (2015–2020) at Fudan University, specifically at the Shanghai Key Lab of Medical Image Computing and Computer-Assisted Intervention, where i was supervised by Prof. Zhijian Song and co-supervised by Prof. Chenxi Zhang and Prof. Manning Wang.

My research passions lie in the domains of Computer Vision, 3D Vision, and Medical Image Processing. I have contributed more than 10+ publications to prestigious international AI conferences and journals, including CVPR, SIGGRAPH, NeurIPS, ECCV, ICRA, and TIP.

🔥 News

  • 2025.02:  🎉 One paper accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025).
  • 2025.01:  🎉 Two paper accepted to International Conference on Learning Representations (ICLR 2025).

📝 Publications

SIGGRAPH 2025
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LAM: Large Avatar Model for One-shot Animatable Gaussian Head

Yisheng He, Xiaodong Gu, Xiaodan Ye, Chao Xu, Zhengyi Zhao, Yuan Dong#, Weihao Yuan#, Zilong Dong, Liefeng Bo

Project Code

  • A large avatar model for generating the animatable Gaussian head avatar from one image, allowing animation and rendering without additional network.
ICLR 2025 (Spotlight)
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Atlas Gaussians Diffusion for 3D Generation

Haitao Yang*, Yuan Dong*, Hanwen Jiang, Dejia Xu, Georgios Pavlakos, Qixing Huang

Code

  • A new 3D representation that can efficiently decode a sufficiently large and theoretically infinite number of 3D Gaussians for high-quality 3D generation.
3DV 2025
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Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints

Chuan Fang*, Yuan Dong*, Kunming Luo, Xiaotao Hu, Rakesh Shrestha, Ping Tan

Project

  • A two-stage method for 3D room generation from pure text input, which separates the geometric layout generation and appearance generation.
CVPR 2024 (Oral)
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GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors

Yuan Dong*, Qi Zuo*, Xiaodong Gu, Weihao Yuan, Zhengyi Zhao, Zilong Dong, Liefeng Bo, Qixing Huang

Project

  • A novel latent diffusion shape-generative model regularized by a quality checker that outputs a score of a latent code.
CVPR 2024
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PanoContext-Former: Panoramic Total Scene Understanding with a Transformer

Yuan Dong*, Chuan Fang*, Liefeng Bo, Zilong Dong, Ping Tan

Project Dataset

  • A new fully 3D method for total scene understanding from a single RGB panorama in an end-to-end fashion, which will better preserve the intrinsic structure of the indoor scene.
ECCV 2024
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High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding

Qi Zuo*, Xiaodong Gu*, Yuan Dong*, Zhengyi Zhao, Weihao Yuan, Lingteng Qiu, Liefeng Bo, Zilong Dong

Project

  • A novel sparse encoding and dense decoding paradigm that can achieve both high-fidelity single-class generation.
IJCARS 2019
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Regional-surface-basedregistration for image-guided neurosurgery: Effects of scan modes onregistration accuracy

Yuan Dong, Chenxi Zhang , Dafeng Ji, Manning Wang, Zhijian Song

  • A new framework for selecting an appropriate scan resolution and scan mode in image-guided neurosurgery.
TIP 2018
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2D-3D Point Set Registration Based on Global Rotation Search

Yinlong Liu*, Yuan Dong*; Zhijian Song; Manning Wang

Code

  • New bounds for a global rotation search in 2D-3D registration.

More Publications:

📦 Datasets

ReplicPano
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PanoContext-Former: Panoramic Total Scene Understanding with a Transformer

Yuan Dong*, Chuan Fang*, Liefeng Bo, Zilong Dong, Ping Tan

Download

  • ReplicaPano is a new panoramic dataset that offers various ground truths, including photo-realistic panorama, depth maps, real-world 3D room layouts and 3D oriented object bounding boxes, and object meshes.
GObjaverse
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G-buffer Objaverse: High-Quality Rendering Dataset of Objaverse

Chao Xu, Yuan Dong, Qi Zuo, Junfei Zhang, Xiaodan Ye, Wenbo Geng, Yuxiang Zhang, Xiaodong Gu, Lingteng Qiu, Zhengyi Zhao, Qing Ran, Jiayi Jiang, Zilong Dong, Liefeng Bo

Project Download

  • High-Quality Rendering Dataset of Objaverse.

🎖 Honors and Awards

  • 2024.05, GPLD3D is selectd as one of 90 Oral presentations (3.3% accepted paper) by CVPR2024
  • 2019.09, National Scholarship (Top 1%)

📖 Educations

  • 2015.06 - 2020.09, PhD, MICCAI, Fudan Univeristy, Shanghai.
  • 2010.09 - 2015.06, Undergraduate, Chongqing Medical University, Chongqing.