This is my practice related to AI & Computer Graphics. This repository is for educational purposes only.

Also I always wanted to make a tutorial/blog about computer graphics and hope this material will be complimentary for those who use slangpy.

Usage

Requirements:

• Python >= 3.9

Follow these steps in following order:

1. git clone https://github.com/wh1t3lord/ai.git
2. pip install requirements.txt
3. now choose demo and run using main.py files that store in each top level subfolders (cg_raster; cg_rtx; cg_neural)

Overview

Gaussian splatting

This chapter contains different demos that are ordered

1. Differentiable Rasterizer
2. Neural radiance fields (paper)
3. Gaussian splatting (paper)

Diffusion models

1. Flow-matching

Computer Graphics (ray tracing)

This chapter contains implementation of path tracing following "Physically Based Rendering: From Theory to Implementation"

1. Path tracer

Computer Graphics (raster)

This chapter contains only one file that accumulates all below demos in one app (.py file)

1. Super trivial shading
2. Loading GLTF model with phong lighting
3. Skybox
4. Normal mapping
5. Bump mapping
6. Bump paralax mapping
7. Terrain rendering from heightmap
8. Shadowmapping
9. Instancing
10. Discrete geometry lods
11. Geomorphing
12. HLOD
13. PBR
14. Lightmapping
15. Irradiance volumes
16. Voxel cone tracing
17. Area lights
18. OIT
19. Atmospheric scattering
20. RESTIR
21. OpenPBR material system
22. Neural shading

Contacts

• Discord: @wh1t3lord
• Twitter: @wh1t3lord