Sotabase

Career

· Co-founder and CTO, Apparate Labs2024–2024
· Research Scientist, Luma AI2024–
· Doctor of Philosophy - PhD, Computer Science, Stanford University2020–2024
· PhD Student, Stanford University2020–2024
· Master's Degree, Computer Science, Carnegie Mellon University2018–2019
· Intern, Google2018–2018
· Teaching Assistant, Carnegie Mellon University2017–2019
· Intern, Yahoo!2017–2017
· Bachelor's Degree, Computer Science, Carnegie Mellon University2015–2018

Publications (9)

Efficient Geometry-aware 3D Generative Adversarial Networks
Computer Vision and Pattern Recognition · 2021
1,407
cited
� corn: Adaptive Coordinate Networks for Neural Scene Representation
210
cited
Acorn
ACM Transactions on Graphics · 2021
102
cited
3D GAN Inversion for Controllable Portrait Image Animation
arXiv.org · 2022
68
cited
NeuForm: Adaptive Overfitting for Neural Shape Editing
Neural Information Processing Systems · 2022
24
cited
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
International Conference on Computer Graphics and Interactive Techniques · 2023
16
cited
3D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generation
arXiv.org · 2024
12
cited
GazeFusion: Saliency-Guided Image Generation
ACM Transactions on Applied Perception · 2024
7
cited
Periodic Conformal Parameterization
2019
Sotabase
Connor Lin | Researcher Profile | Sotabase | Sotabase