Welcome to NVIDIA’s real-time graphics research group — researchers and engineers across the world working to redefine the future of photoreal, real-time, dynamic computer graphics.
Our research combines advances in light simulation, AI algorithms, and graphics systems. Our work has led to new physics-based and neural rendering technologies, generative 3D content creation, image metrics, graphics languages, and hardware features. Products derived from our inventions include DLSS, RTXDI, RTX Path Tracing, Slang, and more.
Prospective interns looking to join our team should directly contact potential research mentors, either via e-mail, social media, or in person at a conference
August 2025 - Our team has multiple papers at SIGGRAPH 2025:
We’re also involved in multiple SIGGRAPH 2025 courses, including:
SIGGRAPH (Conference Track), 2025
ACM Transactions on Graphics (SIGGRAPH), 2025
Computing derivatives of path integrals under evolving scene geometry is a fundamental problem in physics-based differentiable rendering, which requires differentiating discontinuities in the visibility function. Warped-area reparameterization is a …
ACM/EG Symposium on High Performance Graphics (HPG), 2025
ACM Transactions on Graphics (SIGGRAPH), 2025
ACM Transactions on Graphics (SIGGRAPH), 2025
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
ACM Transactions on Graphics (ToG), 2025
Recent spatiotemporal resampling algorithms (ReSTIR) accelerate real-time path tracing by reusing samples between pixels and frames. However, existing methods are limited by the sampling quality of path tracing, making them inefficient for scenes …
Computer Graphics Forum, 2025
ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), 2025
Computer Graphics Forum (Eurographics), 2025