J. Guo

J. Guo is a Researcher in the Computer Graphics and Visualisation Department at Delft University of Technology, affiliated with the Electrical Engineering Mathematics and Computer Science Faculty. Their work bridges computational graphics and realistic image synthesis with a strong focus on Monte Carlo methods and sampling techniques.

Research Interests

• Computer Graphics
• Image Synthesis
• Monte Carlo Integration
• Light Transport Simulation
• Optical Coherence Tomography
• Texture Filtering

Research Output Trends

J. Guo’s publications since 2020 emphasize efficient light transport simulation, realistic image synthesis, and advanced sampling techniques. Notable contributions include geometric sample reweighting for Monte Carlo integration and multi-scale imaging of historical artworks like Vermeer’s Girl with a Pearl Earring. Their 2024 conference paper on sheared polygonal texture filtering highlights ongoing innovation in graphics hardware optimization.

Conference Activities

Guo actively presents at leading graphics conferences such as Graphics Interface (2024) and EGSR (2018), and has organized events like Eurographics 2018. Their work has been cited across optics and computer science domains, with significant downloads and open-access engagement.

Collaborations

Guo collaborates with institutions and researchers in optics, art conservation, and rendering algorithms, as evidenced by co-authorships with experts like Eisemann and Kalkman in both computational graphics and interdisciplinary projects.