Xun Huang

My name is Xun Huang (pronounced as /shuun hwang/). I am a Senior Research Scientist at Adobe and also an adjunct professor at CMU. Prior to joining Adobe, I was a researcher at NVIDIA working on large-scale foundation models for visual Generative AI. I obtained my PhD from the Department of Computer Science at Cornell University, advised by Professor Serge Belongie. During PhD, my research was supported by Adobe Research Fellowship (2019), Snap Research Fellowship (2019), and NVIDIA Graduate Fellowship (2018).

I currently lead the interactive video world model research at Adobe. My definition of a "video world model" is a video generative model that is (1) causal, (2) controllable, (3) real-time, with a high degree of (4) 3D consistency and (5) physical realism, sorted from the most basic to the most advanced requirements. I am also strongly interested in fundamental architecture design of generative models.