Xi Deng
I am a Ph.D candidate in Graphics and Vision Group at Cornell University advised by Dr. Steve Marschner. My main research interests are physically-based light transport simulation, inverse rendering and monte-carlo sampling. Before I started my Ph.D at Cornell (June of 2019) , I was a master student in the Digital Arts program at Dartmouth College. I did my master thesis in the Visual Computing Lab under the supervision of Dr. Wojciech Jarosz.
Email: xd93 at cornell dot edu
Full CV pdf
Master Thesis pdf
Research
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Proceedings of SIGGRAPH 2022
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 40(6), December 2021.
Xi Deng, Shaojie Jiao, Benedikt Bitterli, Wojciech Jarosz.ACM Transactions on Graphics (Proceedings of SIGGRAPH), 38(4), July 2019.
Tutoring
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CS5625 Interactive Computer Graphics
2021 Spring. Cornell University. Teaching Assistant
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Graphics & Vision Seminar.
2020 Spring. Cornell University. Running the Seminar.
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CS 4620: Introduction to Computer Graphics
2019 Fall. Cornell University. Teaching Assistant
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CS 22/122 3D Modeling
2018 Spring, 2019 Winter. Dartmouth College. Teaching Assistant
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CS 65/165 Smartphone Programming
2018 Winter. Dartmouth College. Teaching Assistant
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CS 24/124 Computer Animation
2017 Fall. Dartmouth College. Teaching Assistant
Talks
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Games Webinar 236Mar.16.2023
Reconstructing translucent object using differentiable rendering (in Mandarin) -
Games Webinar 236July.07.2022
Path graphs: iterative path space filtering (in Mandarin) -
Beijing University of Posts and Telecommunications, CHEN GROUP, Research101. April.29.2022
Reconstructing Translucent Objects Using Differentiable Rendering -
Cornell, Computer Graphics and Vision Seminar. Mar.08.2021
Path graphs: iterative path space filtering -
Dartmouth, CS294 Reading Course, Invited Talk. Feb.24.2020
Photon surfaces for robust, unbiased volumetric density estimation -
Cornell, Computer Graphics and Vision Retreat. Feb.3.2020
Inverse Light Transport -
Cornell, Computer Graphics and Vision Seminar. Sep.23.2019
Photon surfaces for robust, unbiased volumetric density estimation