Anjul Patney
Papers
1
Total Citations
23
H-Index
1
About
Anjul Patney is a leading researcher in computer graphics, with key contributions in high-dimensional sampling, real-time rendering, and visual computing. His most cited work, "Spoke-Darts for High-Dimensional Blue-Noise Sampling" (2018, 23 citations), addresses a longstanding challenge in graphics: generating blue noise distributions in high-dimensional spaces. Patney’s method achieves both quality and performance, enabling applications in rendering, imaging, and simulation that previously struggled with sampling artifacts. Beyond this, his research spans efficient algorithms for interactive graphics, including work on adaptive sampling and GPU-accelerated techniques. Patney’s impact is evident in the adoption of his methods by both academia and industry, with his papers influencing subsequent advances in Monte Carlo rendering and procedural texturing. He has also contributed to notable achievements in real-time graphics, such as techniques for reducing noise in path-traced images. For students and researchers, Patney’s work exemplifies how theoretical rigor—like proving properties of sampling distributions—can drive practical tools for modern graphics pipelines. His research continues to shape how we generate and process visual data, from film production to virtual reality.
Research Focus
Key Achievements
Top Papers
- 1Spoke-Darts for High-Dimensional Blue-Noise Sampling23 citations · 2018