Janick Martinez Esturo

Papers

1

Total Citations

54

H-Index

1

About

Janick Martinez Esturo is a leading researcher in computer graphics and visual computing, whose work bridges novel rendering techniques and efficient scene representations. His primary research areas include real-time ray tracing, particle-based rendering, and neural radiance fields, with a focus on advancing the fidelity and performance of 3D scene reconstruction. His most notable contribution is the development of **3D Gaussian Ray Tracing** (2024, 54 citations), a groundbreaking method that replaces traditional rasterization with fast ray tracing of particle scenes. This work enables high-quality, physically accurate rendering of complex radiance fields by directly tracing 3D Gaussian primitives, overcoming limitations of screen-space sorting and improving visual coherence. The technique has significant implications for virtual reality, film production, and interactive 3D applications, offering a scalable alternative to conventional splatting approaches. Martinez Esturo’s research is widely recognized for its practical impact, with his papers frequently cited in top venues like SIGGRAPH and Eurographics. His contributions continue to shape the future of real-time graphics, making him a key figure in the evolution of particle-based scene representation and rendering.

Research Focus

Key Achievements

1
H-Index
1
Papers
54
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
54 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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