Sotabase

Career

· Research Intern, Nvidia2021–
· Ph.D. Candidate in Computer Science (Artificial Intelligence), Stanford University2021–
· Intern, Google2020–
· M.S. Computer Science (Artificial Intelligence), Stanford University2019–2021
· Intern, NASA Jet Propulsion Laboratory (JPL)2018–
· Project Manager and EECS Team Lead, Yale Formula Hybrid Racing Team2016–2018
· B.S. Mechanical Engineering Sciences with distinction, B.S. Computer Science with distinction, Yale University2014–2018
· Founder, Captain, Mentor, Championship Robotics Team2011–2019
· Research, World Labs

Publications (46)

Efficient Geometry-aware 3D Generative Adversarial Networks
Computer Vision and Pattern Recognition · 2021
1,408
cited
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
Computer Vision and Pattern Recognition · 2020
936
cited
3D Neural Field Generation Using Triplane Diffusion
Computer Vision and Pattern Recognition · 2022
308
cited
Generative Novel View Synthesis with 3D-Aware Diffusion Models
IEEE International Conference on Computer Vision · 2023
297
cited
MetaSDF: Meta-learning Signed Distance Functions
Neural Information Processing Systems · 2020
273
cited
A frequency analysis of light transport
ACM Transactions on Graphics · 2005
271
cited
Generative Neural Articulated Radiance Fields
Neural Information Processing Systems · 2022
133
cited
Acorn
ACM Transactions on Graphics · 2021
102
cited
Rendering Fake Soft Shadows with Smoothies
Rendering Techniques · 2003
102
cited
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
ACM Transactions on Graphics · 2023
89
cited
An Efficient Hybrid Shadow Rendering Algorithm
Rendering Techniques · 2004
88
cited
3D GAN Inversion for Controllable Portrait Image Animation
arXiv.org · 2022
68
cited
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models
IEEE International Conference on Computer Vision · 2022
53
cited
Efficient partitioning of fragment shaders for multipass rendering on programmable graphics hardware
SIGGRAPH/EUROGRAPHICS Conference On Graphics Hardware · 2002
39
cited
Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognition
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2023
36
cited
Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition
Trans. Mach. Learn. Res. · 2023
22
cited
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
International Conference on Computer Graphics and Interactive Techniques · 2023
16
cited
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
arXiv.org · 2022
13
cited
Using spectrometry and photography to study color underwater
OCEANS'11 MTS/IEEE KONA · 2011
11
cited
Real-time shadowing techniques
International Conference on Computer Graphics and Interactive Techniques · 2004
6
cited
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Eric Ryan Chan | Researcher Profile | Sotabase | Sotabase