
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
- Volumetric inverse rendering
- Shape optimization
- Radiance Field Reconstruction (NeRF-like)
- Polarizer optimization
- PyTorch and Mitsuba interoperability