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Tero Karras | Research
Tero Karras is a principal research scientist at NVIDIA Research, which he joined in 2009. His current research interests revolve around deep learning, generative models, and digital content creation. He has also had a pivotal role on NVIDIA's real-time ray tracing efforts, especially related to efficient acceleration structure construction and dedicated hardware units.
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Tero Karras

Tero Karras is a principal research scientist at NVIDIA Research, which he joined in 2009. His current research interests revolve around deep learning, generative models, and digital content creation. He has also had a pivotal role on NVIDIA's real-time ray tracing efforts, especially related to efficient acceleration structure construction and dedicated hardware units.

Main Field of Interest:

Machine Learning and Artificial Intelligence

Additional Research Areas:

Computer Graphics

Ray Tracing

Google Scholar:

https://scholar.google.fi/citations?user=-50qJW8AAAAJ

Publications

A Style-Based Generator Architecture for Generative Adversarial Networks

Texture Level of Detail Strategies for Real-Time Ray Tracing

Noise2Noise: Learning Image Restoration without Clean Data

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion

Efficient Incoherent Ray Traversal on GPUs Through Compressed Wide BVHs

Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks

Pruning Convolutional Neural Networks for Resource Efficient Inference

Apex Point Map for Constant-Time Bounding Plane Approximation

On Quality Metrics of Bounding Volume Hierarchies

Megakernels Considered Harmful: Wavefront Path Tracing on GPUs

Gradient-Domain Metropolis Light Transport

Fast Parallel Construction of High-Quality Bounding Volume Hierarchies

Understanding the Efficiency of Ray Traversal on GPUs - Kepler and Fermi Addendum

Maximizing Parallelism in the Construction of BVHs, Octrees, and k-d Trees

Improved Dual-Space Bounds for Simultaneous Motion and Defocus Blur

Efficient Triangle Coverage Tests for Stochastic Rasterization

Clipless Dual-Space Bounds for Faster Stochastic Rasterization

High-Performance Software Rasterization on GPUs

Stratified Sampling for Stochastic Transparency

Architecture Considerations for Tracing Incoherent Rays

Two Methods for Fast Ray-Cast Ambient Occlusion

Efficient Sparse Voxel Octrees - Analysis, Extensions, and Implementation

Efficient Sparse Voxel Octrees

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The GANfather: The man who’s given machines the gift of imagination
By pitting neural networks against one another, Ian Goodfellow has created a powerful AI tool. Now he, and the rest of us, must face the consequences.
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