Xuyang (Rita) Wang

Desk 2A, Level 1, Brian Anderson Building, ANU Acton Campus

G’Day! I’m a third year PhD student at ANU, supervised by Prof.Hongdong Li, and have A/Prof.Mehrtash Harandi and Prof.Richard Hartley as my advisors.

Currently, I’m visiting KAUST Vision-CAIR as a visiting PHD student, working with Dr.Jian Ding and Prof.Mohamed Elhoseiny.

My research interests focus on Generative Models, 3D Vision, EmbodiedAI and Geometric Deep Learning. Broadly, I’m fascinated by how generative modeling and geometry can work together to solve the problems that benefit for real-life applications.

Before my PhD journey, I have obtained the Master’s Degree in Machine Learning and Computer Vision from The Australian National University, and Bachelor of Eletrical Engineering from University of Sydney.

I have gained both internship and project experience in human motion generation and virtual reality, under the guidance of Prof. Nick Barnes and Dr. Jing Zhang, Dr. Xiu Li and Dr. Shihao Jiang, to whom I extend my heartfelt gratitude. My fascination with computer vision, 3D geometry, and generative modeling has grown through these experiences, and the research problems I encountered continue to inspire my current and future directions.

news

Jul, 2026	Our paper Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning has been conditionally accepted to SIGGRAPH Asia 2026!
Jan, 2026	Start visiting KAUST for 6 months! Hosting by Prof.Mohamed Elhoseiney and Dr.Jian Ding at Vision-CAIR, working on EmbodiedAI
Dec, 2024	Serving as ECCV 2024, ECCVW 2024, NIPS 2024, CVPR 2025, ICML 2025 reviewer.

selected publications

2026

SiggraphAsia

Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning

Xuyang Wang, Zhenyu Li, Jian Ding, and 4 more authors

arXiv preprint, 2026

SIGGRAPH Asia 2026

arXiv Bib Code

@article{wang2026artico,
  title = {{Artic-O}: End-to-End Articulated Object Reconstruction via Latent Geometry Learning},
  author = {Wang, Xuyang and Li, Zhenyu and Ding, Jian and Slim, Habib and Wonka, Peter and Li, Hongdong and Elhoseiny, Mohamed},
  journal = {arXiv preprint},
  year = {2026},
  note = {SIGGRAPH Asia 2026},
  github = {https://wxyxixixi.github.io/Artic-O/}
}

2025

arXiv

DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Generative Learning on 3D Meshes

Xuyang Wang, Ziang Cheng, Zhenyu Li, and 6 more authors

arXiv, 2025

arXiv Bib Code

@article{wang2025doublediffusion,
  title = {DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Generative Learning on 3D Meshes},
  author = {Wang, Xuyang and Cheng, Ziang and Li, Zhenyu and Yang, Jiayu and Ji, Haorui and Ji, Pan and Harandi, Mehrtash and Hartley, Richard and Li, Hongdong},
  year = {2025},
  publisher = {arXiv},
  journal = {arXiv},
  github = {Wxyxixixi/DoubleDiffusion_3D_Mesh}
}

2024

TIP

Binsformer: Revisiting adaptive bins for monocular depth estimation

Zhenyu Li, Xuyang Wang, Xianming Liu, and 1 more author

IEEE Transactions on Image Processing, 2024

arXiv Bib Code

@article{li2024binsformer,
  title = {Binsformer: Revisiting adaptive bins for monocular depth estimation},
  author = {Li, Zhenyu and Wang, Xuyang and Liu, Xianming and Jiang, Junjun},
  journal = {IEEE Transactions on Image Processing},
  year = {2024},
  publisher = {IEEE},
  github = {zhyever/Monocular-Depth-Estimation-Toolbox}
}