Tero Karras
Senior Distinguished Research Scientist, NVIDIA | Creator of StyleGAN & Progressive GANs
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Tero Karras. Every entry undergoes editorial source verification.
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding (Instant NGP)
Introduced multiresolution hash encoding for neural graphics primitives, accelerating NeRF and signed distance field training from hours to seconds on a single GPU.
Hash collisions can induce high-frequency reconstruction noise in complex out-of-distribution scenes without adequate spatial bounding.
A Style-Based Generator Architecture for Generative Adversarial Networks (StyleGAN)
Invented the style-based generator architecture for GANs, introducing adaptive instance normalization (AdaIN) to separate high-level facial attributes (pose, identity) from stochastic variations (hair, freckles).
Susceptible to characteristic water-droplet artifacts in feature maps before the StyleGAN2 weight demodulation redesign.