Fast thermal modeling and radiosity in Python.
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Updated
Dec 5, 2025 - Python
Fast thermal modeling and radiosity in Python.
Simple "realtime global 2D-radiosity", compute on CPU or GPU
RTX Progressive Refinement Radiosity
🌞 radiōsum (radiant) is an implementation of "A general two-pass method integrating specular and diffuse reflection."
LIGHTmap renderER
CPU-based Radiosity: Final Team Project., testing - optimization & parallel skill
A renderer that doesn't sample. It solves. Noise-free CPU global illumination — no Monte Carlo, no denoiser, no GPU.
Python implementation of two-pass consists of radiosity and ray-tracing
Custom version of Source Engine. based on Mapbase and SDK 2013 CE
LUMOS is a spectral radiosity simulation tool that allows for spectral indoor light distribution simulation.
A from-scratch C++23 software renderer: rasteriser, Whitted ray tracer, Monte-Carlo path tracer, photon mapper, radiosity, bidirectional & Metropolis GI, and a real-time OpenCL GPU path tracer. Renders the Cornell box every way there is.
Radiosity is an outdated rendering method, and the C++ code available online is old and difficult to run. Therefore, I used Codex to write this sample project for learning purposes.
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