KO
|
EN
gitlite โ search
Search
#python
#typescript
#javascript
#nodejs
#java
#docker
#rust
#nlp
#react
#android
#golang
#node
rpt
โ 430
Open GitHub โ
A physically-based path tracer
Download README (.md)
Explore Similar Repositories
trailing-slash-guide
:
Understand and fix your static website trailing slash issues!
Icons.Avalonia
:
No description available.
DataDrivenDiffEq.jl
:
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
imbalanced-ensemble
:
[NeurIPS'25]๐ ๏ธClass-imbalanced Ensemble Learning Toolbox. | ็ฑปๅซไธๅนณ่กก/้ฟๅฐพๆบๅจๅญฆไน ๅบ
actor-boilerplate
:
A starting point for web apps based on the actor model.
// repository documentation
Was this content helpful?
โ 0
(0 ratings)
Select Rating:
โ
โ
โ
โ
โ
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
rpt
?
Download (.md)
# rpt [](https://crates.io/crates/rpt) [](https://docs.rs/rpt) This is a physically based, CPU-only rendering engine written in Rust. It uses path tracing to generate realistic images of 3D scenes.   ## Features - Simple declarative API, 100% Safe Rust - Supports .OBJ, .MTL, and .STL file formats - Uses unbiased path tracing for physically-based light transport - Uses a microfacet BSDF model with multiple importance sampling - Uses kd-trees to accelerate ray intersections - Supports direct light sampling and emissive materials - Supports HDRI environment maps - Supports depth of field - Supports iterative rendering, variance estimation, and firefly reduction - Supports physics simulation with numerical integrators and particle systems - Uses all CPU cores concurrently, scaling linearly up to 96 cores ## Quickstart First, clone the repository. The library containing path tracing code is located inside `src/`. Example code and scenes are located in `examples/`. To compile and run `examples/basic.rs`, use the command: ```bash cargo run --example basic ``` To run tests, use: ```bash cargo test ``` ### Library Usage To use `rpt` as a library, add the following to your `Cargo.toml`: ```toml [dependencies] rpt = "0.2" ``` Here's a simple scene that demonstrates the basics of the API. ```rust use rpt::*; fn main() { let mut scene = Scene::new(); scene.add(Object::new(sphere())); // default red material scene.add( Object::new(plane(glm::vec3(0.0, 1.0, 0.0), -1.0)) .material(Material::diffuse(hex_color(0xAAAAAA))), ); scene.add(Light::Object( Object::new( sphere() .scale(&glm::vec3(2.0, 2.0, 2.0)) .translate(&glm::vec3(0.0, 12.0, 0.0)), ) .material(Material::light(hex_color(0xFFFFFF), 40.0)), )); let camera = Camera::look_at( glm::vec3(-2.5, 4.0, 6.5), glm::vec3(0.0, -0.25, 0.0), glm::vec3(0.0, 1.0, 0.0), std::f64::consts::FRAC_PI_4, ); Renderer::new(&scene, camera) .width(960) .height(540) .max_bounces(2) .num_samples(100) .render() .save("output.png") .unwrap(); } ```  This code can also be found in `examples/sphere.rs`. Note that the shadow is correctly tinted red due to [global illumination](https://en.wikipedia.org/wiki/Global_illumination). See the detailed [API documentation](https://docs.rs/rpt) for information about all of the features, and feel free to learn from the other examples! ## References - [Physically Based Rendering, 3rd ed.](http://www.pbr-book.org/) - [CS 348B: Image Synthesis Techniques](https://graphics.stanford.edu/courses/cs348b/) - [Microfacet Models for Refraction through Rough Surfaces](https://www.graphics.cornell.edu/~bjw/microfacetbsdf.pdf) - [Scratchapixel: Global Illumination and Path Tracing](https://www.scratchapixel.com/lessons/3d-basic-rendering/global-illumination-path-tracing) - [SIGGRAPH '10 Notes on Physically-Based Shading](https://renderwonk.com/publications/s2010-shading-course/hoffman/s2010_physically_based_shading_hoffman_a_notes.pdf) - Inspired by: [fogleman/pt](https://github.com/fogleman/pt), [hunterloftis/pbr](https://github.com/hunterloftis/pbr) ## Samples         ## Acknowledgements This project was built by [Eric Zhang](https://github.com/ekzhang) and [Alexander Morozov](https://github.com/scanhex). We'd like to thank [Justin Solomon](https://people.csail.mit.edu/jsolomon/), Yuanming Hu, Lingxiao Li, and Dmitriy Smirnov for teaching an excellent computer graphics class at MIT. Some of the examples use free 3D models and image assets available on the Internet. Links are provided in comments in the source code, where used.
