Haoyu Wu

Hi, I am Haoyu Wu (吴浩宇), a Ph.D. candidate at Stony Brook University, supervised by Prof. Dimitris Samaras. I received my bachelor's degree from the Chinese University of Hong Kong, Shenzhen.

My research focuses on computer vision and deep learning, and I have a deep passion for AI-powered content creation. My expertise includes 3D generation, 3D reconstruction, Gaussian splatting, neural rendering, and diffusion models.

Email  /  CV  /  Google Scholar

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Research
Direct and Explicit 3D Generation from a Single Image
Haoyu Wu, Meher Gitika Karumuri, Chuhang Zou, Seungbae Bang, Yuelong Li, Dimitris Samaras, Sunil Hadap
3DV, 2025
project page

A novel image-to-3D framework that scales well toward high resolution by generating explicit surface geometry and texture.

S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
Haoyu Wu, Alexandros Graikos, Dimitris Samaras
ICCV, 2023
project page

Physically based neural rendering, combined with multi-view stereo, enables view synthesis from only 3 input images.

hps HighEr-Resolution Network for Image Demosaicing and Enhancing
Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang
ICCV Workshop, 2019
code / arXiv

Winner of AIM2019: Mobile Raw to DSLR RGB Image Mapping Challenge (ICCV Workshop).


The website template was borrowed from Jon Barron.