Yifan Jiang

Hi, I am Yifan Jiang (江亦凡), a fourth-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 build intelligent machines that are capable of recreating our visual world. I strive to achieve this by establishing a connection between the visual contents from physical world and from virtual scenes. My research helps people better restore our visual world in the digital format and render artistic effects more easily. Especially, I study three main topics:

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

News: I'm a recipient of Apple Scholars in AI/ML PhD fellowship 2023.