Controlling sketch to image synthesis using Generative adversarial networks with texture and color control over the generated output.
I’m a first year PhD student at Cornell University in Computer Science. My research interests lie at the intersection of Computer Vision, Graphics, and Human-Computer Interaction. Currently, I am a research assistant to Prof. Noah Snavely.
My undergraduate research at Georgia Tech focused on deep image synthesis, advised by Prof. James Hays. I was a research intern at Adobe in summer 2018. I worked with Berkeley DeepDrive team and conducted research on large-scale driving dataset with Prof. Trevor Darrell and Fisher Yu in summer 2017. I am also interested in Augmented Reality and Mixed Reality applications.
TextureGAN: Controlling Deep Image Synthesis with Texture Patches [PDF] [Project Page]
Wenqi Xian*, Patsorn Sangkloy*, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu, James Hays (*Equal Contribution)
(CVPR 2018 Spotlight)
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling [PDF] [BAIR Blog]
Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell
Augmented and Mixed Reality Projects
Use MR technology to help businesses find and pick your orders in warehouses. Gloabl Second Place Winner in Microsoft Imagine Cup 2017
Support creating fully-registered AR applications that leverage 3D graphics, geo-spatial-positioning, computer-vision tracking
A virtual world in your hand powered by computer tracking library Vuforia.
A virtual lab TA that makes the lab more interesting and engaging.