Advanced Computer Graphics Rendering
Master modern rendering techniques including ray tracing and path tracing. Create realistic 3D computer-generated images.
Master modern rendering techniques including ray tracing and path tracing. Create realistic 3D computer-generated images.
This advanced course focuses on computer graphics rendering techniques for creating highly realistic 3D images. Students learn physically-based rendering methods, from basic ray tracing to advanced path tracing with multiple importance sampling. The course provides practical experience through hands-on projects in implementing various rendering algorithms for photorealistic image generation.
Instructors:
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What you'll learn
Implement ray tracing algorithms for 3D scene rendering
Develop direct lighting systems for realistic illumination
Master path tracing techniques for photorealistic images
Apply importance sampling methods for efficient rendering
Skills you'll gain
This course includes:
PreRecorded video
4 homework assignments, Graded projects
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course provides comprehensive training in modern computer graphics rendering techniques. Students learn to implement various rendering algorithms from ray tracing to advanced path tracing with multiple importance sampling. The curriculum focuses on creating photorealistic computer-generated images through physically-based rendering methods. The course consists of four major projects covering raytracing, direct lighting, path tracing, and importance sampling.
Raytracing
Module 1
Direct Lighting
Module 2
Path Tracing
Module 3
Importance Sampling
Module 4
Fee Structure
Instructor
5 Courses
Distinguished Computer Graphics Pioneer and Visual Computing Innovator
Ravi Ramamoorthi serves as the Ronald L. Graham Professor of Computer Science at the University of California, San Diego, and founding Director of the UCSD Center for Visual Computing, while also holding a position as Distinguished Research Scientist at NVIDIA Research since 2021. His academic journey includes BS and MS degrees from Caltech (1998) and a Ph.D. from Stanford University (2002), followed by influential faculty positions at Columbia and Berkeley. His groundbreaking research in computer graphics and computer vision, documented in over 200 publications with more than 36,000 citations, has earned him numerous prestigious accolades, including the ACM SIGGRAPH Significant New Researcher Award (2007), the Presidential Early Career Award for Scientists and Engineers (2008), and fellowships in IEEE, ACM, and the SIGGRAPH Academy. His contributions to education include pioneering one of the first nine MOOCs on the edX platform, earning him recognition as a two-time recipient of the edX Prize Certificate for exceptional online teaching. His industry impact extends through consultancy roles with Pixar and various computational imaging startups, while his research continues to advance the fields of computer graphics rendering and physics-based computer vision
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