Boyang Wang

Hello! This is Boyang Wang (王博洋). I am an incoming PhD student to University of Virginia supervised by Zezhou Cheng. I was graduated with M.S. of Robotics and B.S. of Computer Science from University of Michigan (UMich). At UMich, I worked with Prof. JJ Park, Prof. Nima Fazeli, Prof. Hun-Seok Kim, and Prof. Chad Jenkins.

My research interests mainly lie in Generative Models (especially video) for General, Robotics, and Anime domain!

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First paper in Video Generation that studies Frame In and Frame Out cinematics effect, which is conditioned on First Frame Expanded Canvas, Text Prompt, Motion Trajectory and Identity Reference.

Reconstruct a 3D scene with degraded image sets by Mutliview Diffusion Model.

First paper with Language & Gesture conditioned Video Generative Model for the robot action mentoring.

SOTA Anime SR and Restoration.

First paper studying the Video Compression Degradation on Image SR.

I believe that the optimizer to the life is the faith one has.