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Career
·
PhD Candidate, Electrical and Electronics Engineering
,
Stanford University
2022–
·
Research Assistant
,
Carnegie Mellon University
2020–2022
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Intern
,
Riot Games
2020–
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Intern
,
Deloitte
2019–
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B.Sc. Computer Science
,
Stanford University
2018–2022
Publications
(23)
3D Neural Field Generation Using Triplane Diffusion
Computer Vision and Pattern Recognition · 2022
308
cited
State of the Art on Diffusion Models for Visual Computing
Computer graphics forum (Print) · 2023
154
cited
Compositional 3D Scene Generation using Locally Conditioned Diffusion
International Conference on 3D Vision · 2023
114
cited
Gaussian Shell Maps for Efficient 3D Human Generation
Computer Vision and Pattern Recognition · 2023
67
cited
Orthogonal Adaptation for Modular Customization of Diffusion Models
Computer Vision and Pattern Recognition · 2023
59
cited
Video World Models with Long-term Spatial Memory
arXiv.org · 2025
41
cited
Long-Context State-Space Video World Models
arXiv.org · 2025
30
cited
Adaptive Gating for Single-Photon 3D Imaging
Computer Vision and Pattern Recognition · 2021
17
cited
Instant Continual Learning of Neural Radiance Fields
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2023
13
cited
Flying with Photons: Rendering Novel Views of Propagating Light
European Conference on Computer Vision · 2024
9
cited
BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models
arXiv.org · 2025
3
cited
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models
Neural Information Processing Systems · 2024
3
cited
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Ryan Po | Researcher Profile | Sotabase | Sotabase