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https://github.com/ekzhang/rpt
A physically-based path tracer
https://github.com/ekzhang/rpt
3d-graphics global-illumination graphics path-tracing physically-based-rendering rendering rust
Last synced: 2 days ago
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A physically-based path tracer
- Host: GitHub
- URL: https://github.com/ekzhang/rpt
- Owner: ekzhang
- License: apache-2.0
- Created: 2020-11-04T04:26:35.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-04-15T15:42:59.000Z (over 2 years ago)
- Last Synced: 2024-10-13T11:24:57.036Z (21 days ago)
- Topics: 3d-graphics, global-illumination, graphics, path-tracing, physically-based-rendering, rendering, rust
- Language: Rust
- Homepage:
- Size: 10.8 MB
- Stars: 411
- Watchers: 13
- Forks: 15
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE-APACHE
Awesome Lists containing this project
README
# 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.