Inverse rendering tutorials

Mitsuba 3 can be used to solve inverse problems involving light using a technique known as differentiable rendering. This enables us to estimate physical attributes of a scene, e.g., reflectance, geometry, and lighting, from images. The following tutorials will teach you how to use Mitsuba 3 in such applications:

Gradient-based optimization

Forward inverse rendering

Caustics optimization

Object pose estimation

Projective sampling integrators

Volumetric inverse rendering

Shape optimization

Radiance Field Reconstruction (NeRF-like)

Polarizer optimization

PyTorch and Mitsuba interoperability