Differentiable Rendering Optimization using image masks.

Various resources for Mitsuba 3

Transform your point cloud data into beautifully rendered 3D images.

Explorer of Monte-Carlo based Algorithms can be used to explorer, analyze or debug path tracing algorithms based on Monte Carlo Integration.

The goal of this project is to develop a powerful and user-friendly tool that allows users to produce a dataset of synthetic images for the purpose of testing Shape from Polarization methods, and even further shape reconstruction techniques.

Lot of small plugins for Softimage

Blender exporter with interoperability with Mitsuba 0.6. It supports cool things like materials, motion blur and media.

Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields

Code for "Non-line-of-sight transient rendering" in Mitsuba 3 - Full implementation of transient path tracing - pip install mitransient

Custom plugin in Python for BTF (Bidirectional Texture Function) rendering with Mitsuba 2

Visualizes meshes, pointclouds and video flythroughs in publication quality

Mitsuba integration add-on for Blender