James Gardner
Co-Founder at PXLD
York, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJames Gardner is a first-year PhD student at the University of York specializing in deep inverse rendering for photorealistic augmented reality, with eight years of practical experience across robotics, electronics and computer vision. He focuses on neural implicit representations, generative models and self-supervised learning, bringing a hands-on research background that includes underwater visual odometry and contributions to a peer-reviewed Applied Sciences paper. Prior roles range from PCB and mixed-signal design in lab automation to building and adapting SLAM systems for challenging environments, demonstrating an ability to bridge hardware and ML-driven perception. A former Royal Marine Commando, he combines technical rigor with discipline and cross-disciplinary collaboration, making him adept at tackling real-world sensing problems in both laboratory and field settings.
8 years of coding experience
Doctor of Philosophy (PhD) Computer Vision and Machine Learning, Doctor of Philosophy (PhD) Computer Vision and Machine Learning at University of York
Github Skills (36)
pytorch10
3d-graphics10
machine-learning10
photogrammetry10
deep-learning10
3d10
computer-vision10
3d-reconstruction10
tla9
collaboration9
oms9
mongodb8
hdr8
electron7
nodejs7
Programming languages (5)
Github contributions (5)
JADGardner/ns_reni
Oct 2023 - Jul 2026
Nerfstudio Implementation of RENI++: A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior
Contributions:4 PRs, 46 pushes, 2 branches in 2 years 9 months
hdrillumination-priornerfstudiospherical-gaussianspherical-harmonics
JADGardner/RENI
Jun 2022 - Nov 2022
Code for the paper "Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior" https://arxiv.org/abs/2206.03858 Accepted to NeurIPS 2022!
Contributions:6 commits, 2 PRs, 6 pushes in 4 months
computer-visionmachine-learningneural-networkspytorchillumination-prior
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