Media files for Nabla's Tests and Examples

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 3

Mitsuba integration add-on for Blender

Docker | Mitsuba

5G Competition Submission

Rust parser for Mitsuba scene

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

The mitsuba renderer code for paper: Neural Complex Luminaire: Representation and Rendering

Various resources for Mitsuba 3

A tiny C++11 parser for scene files similar to the ones defined by the Mitsuba renderer.

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.

Implementation of "Focal Path Guiding for Light Transport Simulation" (SIGGRAPH 2023)

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

Implementation of "Efficiency-Aware Russian Roulette and Splitting" (SIGGRAPH 2022)

Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3

Source code for "Gradient-domain Photon Density Estimation", Eurographics 2017

Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018

A collection of gradient-domain light transport algorithms implemented with Mitsuba