Various resources for Mitsuba 3
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Updated
May 31, 2023 - Python
Various resources for Mitsuba 3
Differentiable Rendering Optimization using image masks.
A wrapper repo to control mitsuba2 to render point cloouds and meshes in a more programmingly way.
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.
Explorer of Monte-Carlo based Algorithms can be used to explorer, analyze or debug path tracing algorithms based on Monte Carlo Integration.
A tiny C++11 parser for scene files similar to the ones defined by the Mitsuba renderer.
Blender exporter with interoperability with Mitsuba 0.6. It supports cool things like materials, motion blur and media.
The mitsuba renderer code for paper: Neural Complex Luminaire: Representation and Rendering
Implementation Tutorial for Neural Radiosity [Hadadan et al. 2021] in Mitsuba 3
Code for "Non-line-of-sight transient rendering" in Mitsuba 3 - Full implementation of transient path tracing - pip install mitransient
Plugin for the physically based renderer Mitsuba
Implementation of "Focal Path Guiding for Light Transport Simulation" (SIGGRAPH 2023)
Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields
Implementation of "Efficiency-Aware Russian Roulette and Splitting" (SIGGRAPH 2022)
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