Code for "Non-line-of-sight transient rendering" in Mitsuba 3 - Full implementation of transient path tracing - pip install mitransient
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Updated
Oct 11, 2024 - Python
Code for "Non-line-of-sight transient rendering" in Mitsuba 3 - Full implementation of transient path tracing - pip install mitransient
A tiny C++11 parser for scene files similar to the ones defined by the Mitsuba renderer.
The mitsuba renderer code for paper: Neural Complex Luminaire: Representation and Rendering
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.
Implementation of "Focal Path Guiding for Light Transport Simulation" (SIGGRAPH 2023)
Implementation of "Efficiency-Aware Russian Roulette and Splitting" (SIGGRAPH 2022)
Various resources for Mitsuba 3
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
Efficient 3D reconstruction and relighting of complex scenes with global illumination effects using Neural Radiance Transfer Fields
A wrapper repo to control mitsuba2 to render point cloouds and meshes in a more programmingly way.
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