I am a Ph.D. student at Stanford University, co-advised by Chris Ré and Kayvon Fatahalian. My broad interests include machine learning and computer graphics, and my recent work has focused on controllable diffusion models. Prior to my Ph.D, I received a B.S. in Computer Science at Stanford. In the past, I have worked with Pat Hanrahan on metropolis light transport and path guiding, with Stefano Ermon on applications of GANs to satellite images, and with Susan Athey on the dynamics of Bitcoin usage.

Publications

Block and Detail: Scaffolding Sketch-to-Image Generation
Vishnu Sarukkai, Lu Yuan, Mia Tang, Maneesh Agrawala, Kayvon Fatahalian. UIST, 2024.
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MLMove: Learning to Move Like Professional Counter-Strike Players
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian. SCA, 2024.
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Collage Diffusion
Vishnu Sarukkai, Linden Li, Arden Ma, Chris Ré, and Kayvon Fatahalian. WACV, 2024.
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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
Fait Poms*, Vishnu Sarukkai*, Ravi Teja Mullapudi, Nimit S. Sohoni, William R. Mark, Deva Ramanan, and Kayvon Fatahalian. ICCV, 2021, Oral Presentation.
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Cloud Removal from Satellite Images using Spatiotemporal Generator Networks
Vishnu Sarukkai*, Anirudh Jain*, Burak Uzkent, and Stefano Ermon. WACV, 2020.
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Bitcoin Pricing, Adoption, and Usage: Theory and Evidence
Susan Athey, Ivo Parashkevov, Vishnu Sarukkai, and Jing Xia. Arxiv, 2016.
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Projects

Sketch-a-Sketch: Controlling diffusion-based image generation with just a few strokes
Vishnu Sarukkai, Chris Ré, and Kayvon Fatahalian
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Forager: Rapid Data Exploration and Model Development
Fait Poms, Mihir Garimella, Vishnu Sarukkai, Ravi Teja Mullapudi, Jeremy Barenholtz, and Kayvon Fatahalian
^[Demo]