About Me
Currently I am a Ph.D. candidate in S-Lab at Nanyang Technological University, Singapore, supervised by Prof. Tat-Jen Cham. I've had the distinct privilege of collaborating with Prof. Andrea Vedaldi and Dr. Chuanxia Zheng from Visual Geometry Group, University of Oxford. My research focus on 2D image generation/manipulation and 3D reconstruction/editing.
Education
(2022 - present) Ph.D. in Computer Science, Nanyang Technological University, Singapore
(2017 - 2021) B.S. in Computer Science, Beihang University, Beijing, China
Intership
(2021.2 - 2021.5) Intern at ByteDance AI Lab, Voice Activity Detection, Beijing, China
(2021.10 - 2021.12) Intern at SenseTime Autonomous Driving, Autonomous Driving Planning, Beijing, China
Publications
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Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images
Tianhao Wu,
Chuanxia Zheng,
Frank Guan,
Andrea Vedaldi,
Tat-Jen Cham
ICCV, 2025
arXiv /
Project Page /
Model /
Demo /
Code
A model for 3D amodal reconstruction from partially visible input.
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LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions
Xiaoran Zhao,
Tianhao Wu,
Lai yu,
Zhiliang Tian,
Zhen Huang,
Yahui Liu,
Zejiang He,
Dongsheng Li
ICASSP, 2025
arXiv /
code
A high-quality text-object fusion synthesis model via diffusion.
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ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition
Tianhao Wu,
Chuanxia Zheng,
Qianyi Wu,
Tat-Jen Cham
ECCV, 2024
project page /
arXiv /
code
A self-organized 3D segmentation model via neural implicit surface representation.
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PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
Tianhao Wu,
Chuanxia Zheng,
Tat-Jen Cham
ICLR, 2024
project page /
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arXiv /
code
An indoor panorama outpainting model using latent diffusion models with view-consistent.
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Academic Services
Conference Reviewer
3DMV 2024
ECCV 2024
ACM MM 2024
ICLR 2025
CVPR 2025
Journal Reviewer
TMM
