Yuehao Wang

Ph.D. Student
Department of Computer Science
The University of Texas at Austin

yuehao [at] utexas.edu
[Scholar] [Github] [LinkedIn] [Twitter]

I am a Ph.D. student at UT Austin with VITA Group, advised by Prof. Atlas Wang and Prof. Qixing Huang. Before that, I did my Master of Philosophy at CUHK, where I was fortunate to work with Prof. Tianfan Xue. My bachelor's degree was obtained at ShanghaiTech University.
Research

My current research interests include computer vision, computer graphics, machine learning, and computational photography. In particular, I work on fundamental problems and applications in generative models, neural rendering, and 3D scene representations. Below are my research publications.

Note: * indicates authors with equal contribution.

Steepest Descent Density Control for Compact 3D Gaussian Splatting
Peihao Wang*, Yuehao Wang*, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
CVPR, 2025
Provable 3DGS densification by moving Gaussians towards the steepest descent direction.
[Paper] [Code] [Webpage]
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
Hengyu Liu*, Yuehao Wang*, Chenxin Li*, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
CVPR, 2025
Elastic inference of 3DGS to meet model size budget and maintain rendering quality.
[Paper] [Code] [Webpage]
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
ICLR, 2025
We show that SSMs suffer from recency bias and over-smoothing, and propose a polarization technique to improve long-range recall and enable deeper SSMs.
[Paper] [Code]
Bilateral Guided Radiance Field Processing
Yuehao Wang, Chaoyi Wang, Bingchen Gong, Tianfan Xue
SIGGRAPH (ACM TOG), 2024 (Best Paper Honorable Mention)
We introduce 2D and 3D image signal processing (ISP) pipelines to radiance fields for handling photometric variation and retouching 3D scenes.
[Paper] [Code] [Webpage]
SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
Bingchen Gong*, Yuehao Wang*, Xiaoguang Han, Qi Dou
SIGGRAPH Asia, 2023
We present a gradient domain approach for seamless appearance blending of part NeRFs, drawing inspiration from Poisson image editing.
[Paper] [Webpage]
RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes
Bingchen Gong*, Yuehao Wang*, Xiaoguang Han, Qi Dou
ACM MM, 2023
We decompose NeRF into pure-color layers for palette-based color editing of 3D scenes.
[Paper] [Code] [Webpage]
Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Yuehao Wang, Yonghao Long, Siu Hin Fan, Qi Dou
MICCAI, 2022 (Oral Presentation, Student Travel Award, Young Scientist Award)
A NeRF-based method for reconstructing deformable tissues from stereo endoscopic images.
[Paper] [Code] [Webpage]
Multi-view Neural Human Rendering
Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu
CVPR, 2020
We present an end-to-end Neural Human Renderer (NHR) for dynamic human captures under the multi-view setting.
[Paper] [Code] [Webpage]
Coding Projects
Interactive Volume Renderer
An interactive volume visualizer for displaying implicit functions, medical data, smoke, etc., using CUDA for real-time rendering.
View on Github Videos
Let's Compute Graphics
A course project collection of graphics algorithms and applications, including OpenGL, global illumination, Loop subdivision, etc.
View on Github
Teaching
  • Multimedia Coding and Processing (Fall 2023) @ CUHK, Teaching Assistant
  • Fundamentals of Artificial Intelligence (Fall 2021, Fall 2022) @ CUHK, Teaching Assistant
  • Computer Graphics (Spring 2021) @ ShanghaiTech, Teaching Assistant
  • Linear Algebra (Fall 2019, Fall 2020) @ ShanghaiTech, Teaching Assistant
  • Introduction to Computer Programming (Fall 2018) @ ShanghaiTech, Teaching Assistant
Miscellaneous
  • Outside of academics, my hobbies include playing the guitar, creative coding, web design, and developing video games. Check out my showcase!