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Hello, I'm
Alex Trevithick
I'm a researcher, working on training and leveraging generative models for 3D and 4D computer vision.
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Research Scientist
NVIDIA Research
Education
Ph.D. Computer Science
UC San Diego
Advisor
Hello, I'm Alex
I'm a Research Scientist at NVIDIA after finishing my Ph.D. at UC San Diego, advised by Professor Ravi Ramamoorthi and supported by the NSF Graduate Research Fellowship.
Reach out if you're interested in collaborating!
Research Interests
I'm interested in training and leveraging generative models for computer vision, especially pushing towards 4D reconstruction, real-time inference, and photorealistic generation.
Research
I'm interested in training and leveraging generative models for computer vision, especially pushing towards 4D reconstruction, real-time inference, and photorealistic generation.
SimVS: Simulating World Inconsistencies for Robust View Synthesis
Alex Trevithick, Roni Paiss, Philipp Henzler, Dor Verbin, Rundi Wu, Hadi Alzayer, Ruiqi Gao, Ben Poole, Jonathan T. Barron, Aleksander Holynski, Ravi Ramamoorthi, Pratul P. Srinivasan
Computer Vision and Pattern Recognition (CVPR), 2025
Turn inconsistent captures into consistent multiview images through simulation with video models.
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski
Computer Vision and Pattern Recognition (CVPR), 2025
Sample 4D scenes from text, video, or sparse images.
RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion
Jaidev Shriram*, Alex Trevithick*, Lingjie Liu, Ravi Ramamoorthi
International Conference on 3D Vision (3DV), 2025
Sample 3D scenes from text with diffusion.
What You See Is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
Alex Trevithick, Matthew Chan, Towaki Takikawa, Umar Iqbal, Shalini De Mello, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
Computer Vision and Pattern Recognition (CVPR), 2024
Photorealistic geometry in 3D generative models by rendering every pixel.
AI-mediated 3D Videoconferencing
Michael Stengel, Koki Nagano, Chao Liu, Matthew Chan, Alex Trevithick, Shalini De Mello, Jonghyun Kim, David Luebke, Amrita Mazumdar, Shengze Wang, Mayoore Jaiswal
SIGGRAPH Emerging Technologies, 2023
Real-time demo for immersive 3D videoconferencing built with Live 3D Portrait.
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
Alex Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
ACM Transactions on Graphics (SIGGRAPH), 2023
Real-time encoding and view synthesis from a single portrait image learned with strictly synthetic data.
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi
International Conference on Machine Learning (ICML), 2023
Distill the knowledge of a 3D-aware conditional diffusion model into a triplane NeRF.
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN
Kai-En Lin, Alex Trevithick, Keli Chang, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi
Computer Graphics Forum (EGSR), 2023
Leverage the StyleGAN latent space for multi view consistent edits in real-time.
Media Coverage
NVIDIA CEO Jensen Huang Presents Our Work at Computex 2023
Jensen Huang showcased our Live 3D Portrait technology during his keynote presentation at Computex 2023.
Watch Video
Two Minute Papers Features Live 3D Portrait
Our Live 3D Portrait research was featured on the popular YouTube channel Two Minute Papers.
Watch VideoExperience
Research Scientist
NVIDIA AI
2025-Present
Student Researcher
Google DeepMind
2023-2024
Research Intern (2x)
NVIDIA AI
2022-2023
Visiting Researcher
Max Planck Institute for Informatics
2021
Wilmers Fellow
University of Oxford
2020