MIT: Neural Rendering

Explore the fascinating world of neural rendering in this comprehensive lecture from MIT's Introduction to Deep Learning course. Delve into various aspects of rendering techniques, starting with an introduction to forward rendering and progressing to end-to-end rendering approaches. Discover different 3D data representations and their applications in neural rendering, including voxels, point clouds, and mesh models. Learn about innovative techniques like RenderNet and neural point-based graphics. Investigate the concept of inverse rendering and its implications for computer vision and graphics. Examine the groundbreaking HoloGAN model and its potential for generating 3D-aware images. Conclude with a summary that ties together the key concepts and techniques covered in this informative session on the intersection of deep learning and computer graphics.

- Introduction
- Forward rendering
- End-to-end rendering
- 3D data representations
- RenderNet Voxels
- Neural point based graphics Pointclouds
- Mesh model rendering
- Inverse rendering
- HoloGAN
- Summary