https://github.com/pxl-th/trace.jl

Physically-based ray tracing on CPU
https://github.com/pxl-th/trace.jl

bvh caustics computer-graphics raytracing rendering

Last synced: about 1 month ago
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Physically-based ray tracing on CPU

• Host: GitHub
• URL: https://github.com/pxl-th/trace.jl
• Owner: pxl-th
• Created: 2020-10-26T16:44:55.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2024-09-13T10:46:03.000Z (3 months ago)
• Last Synced: 2024-10-23T06:34:42.929Z (2 months ago)
• Topics: bvh, caustics, computer-graphics, raytracing, rendering
• Language: Julia
• Homepage:
• Size: 9.15 MB
• Stars: 27
• Watchers: 6
• Forks: 4
• Open Issues: 9
• Metadata Files:
  • Readme: README.md

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README

        
# Trace.jl

[![][docs-dev-img]][docs-dev-url]

Physically-based ray tracing on CPU

[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg

[docs-dev-url]: https://pxl-th.github.io/Trace.jl/dev/



Output from `/scenes/shadows.jl`.

## Install

```

] add https://github.com/pxl-th/Trace.jl.git

```

## Examples

All of the examples are available in `scenes/` directory.

Example of running caustic glass scene (note that it supports multithreading).

```bash

julia -t 4 --project=. scenes/caustic_glass.jl

```

### Caustic simulation

Caustic effect using Stochastic Progressive Photon Mapping on a glass block.

|Image|Video|

|:-:|:-:|

|||

|100 iterations, ray depth 8|25 iterations per frame, ray depth 5. [YouTube](https://www.youtube.com/watch?v=87NlMA3Vwvs)|