My research interests are computer vision, machine learning and multimodal generation, specifically, learning-based methods for 3D implicit representation, 3D Gaussian Splatting, 3D AIGC, etc.
If you find any research interests that we might share, feel free to drop me an email. I am always open to potential collaborations.
I was born on Sep. 18th, 1999 in Xi'an, China, which is often referred to as the blessed state.
Research interests
I am working at the intersection between Machine learning and Computer Vision,
developing new machine learning methods to resolve the challenging problems in 3D Vision,
especially focus on Reconstruction and Scene Understanding. Recent work in progress is sparse view foreground reconstruction and multi-scale 3d Gaussian Splatting.
My long-term goal is to improve the application of 3D Vision,
benefiting society directly by improving people's living environment.
News
[12/2023] I have been on a research internship at Institute for Al Industry Research (AIR), Tsinghua University.
Research
Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images and 3D raw data.
Representative papers are highlighted.
A coarse-to-fine training strategy was used to train the Gaussian field. Minimum size and maximum number of Gaussians are set for each order, resulting in a compact and anti-aliased representation.
Other Honors🏆/Interest😏
I led the team to win the second prize of the 19th Graduate Student Mathematical Modeling Contest in China.
I like playing Soccer⚽ and I am a fan of Lionel Messi.
badminton🏸, tennis🎾, frisbee🥏 and etc.
