Yifan Jiang

Hi, I am Yifan Jiang (江亦凡), a last-year Ph.D student at University of Texas at Austin, VITA Group, supervised by Prof. Zhangyang (Atlas) Wang. Before that, I've spent one year at Texas A&M University. I received my bachelor's degree from Huazhong University of Science and Technology. I've interned at Apple (AI/ML), Adobe (Marc Levoy's team), Google Research (GCam), Adobe (ART), and Bytedance AI Lab (US CV Lab).

The central goal of my research is to develop intelligent machines with the capacity to faithfully recreate our visual reality. I strive to achieve this by bridging the gap between the visual contents from physical world and from virtual environment. My research aims to contribute to the advancement of techniques enabling more effective restoration of our visual world in digital formats, as well as facilitating the seamless rendering of artistic effects with greater ease and finesse. Especially, I mainly study three topics:

• Generative Model: Generative Adversarial Networks, Diffusion Model, Variational Autoencoder
• Neural Rendering: Differentiable Rendering, Image-based Rendering, Neural Radiance Fields
• Computational Phtography: Inverse Problem, 2D/3D Editing and Manipulation

News:

• I'm on the job market. I'm looking for a Research Scientist/Engineer job starting from 2024 spring/summer. Feel free to contact me if you have any opening!
• I'm awarded a University of Texas Graduate Dean’s Prestigious Fellowship.
• I'm selected to be a recipient of Apple Scholars in AI/ML PhD fellowship 2023.