Neural Graphics

Catalog description

This course explores the rapidly evolving intersection of machine learning and computer graphics, offering a modern perspective on topics traditionally covered in 15- 362. Students will learn how neural methods are transforming the way we represent, render, and animate visual content. Through a combination of lectures, seminar-style discussions, and research-based projects, the course examines how machine learning techniques can accelerate and enhance traditional graphics pipelines. Topics include Neural Texture Compression, Computer Shaders, Neural Shading, Neural Denoising, Gaussian Splatting, Neural Radiance Fields, Inverse Rendering, AI Players, Animation Cycles, Neural Frame Interpolation, and amp;amp; Stylized Animation. Prerequisites: 15-362 Min. grade C or 16-385 Min. grade C