This image is rendered from the CPP-Tracer via Photon Mapping.
-
SPP:25
-
Total number of photon emissions from light sources: 100 000 000
-
Photon maps and numbers of stored photons:
-
Global photons: 8 123 058
-
Caustic photons: 120 653 488
Rendering Equation Surface Form | Rendering Equation Directional Form |
---|---|
This Path-Tracer gives the full path tracing capacity.
The project includes: Multithreading, Monte Carlo Integration, Multiple Importance Sampling, VNDF-GGX Microfacet model, Uber BSDF(mixing reflection and transmission), Photon Mapping, Tonemapping and more.
This project is built with C++20, the dependencies are self-contained:
- glm
- json_parser
cd CPP-Tracer
rm -rf build/
mkdir build
cd build
cmake ../
make
build/CPP-Path-Tracer
This PyTorch Path Tracer aims to integrate future deep learning models with global illumination path tracers.
We can experiment with Inverse Rendering to reconstruct potential BSDFs. The most feasible reconstruction is the diffuse BRDF for now.
Setup a Conda environment and install packages below:
- PyTorch
- OpenEXR
- hydra-core pillow
- opencv-python
- open3d
- tqdm
- plotly
Render a scene using a specific integrator:
python render.py integrator=xx scene=cbox spp=256
Inverse Rendering:
Training:
python train.py --config-name train_render \
scene=cbox_train_diffuse \
gt=./scripts/cbox-diffuse.exr
To check progress:
tensorboard --logdir tensorboard
Rendering:
python render.py scene=cbox_train_diffuse \
integrator=path_mis \
spp=128 \
checkpoint=./scripts/cbox-diffuse-walls-step4000.ckpt
This Ray-Tracer is adapted from my coursework CS-6491, Grad Computer Graphics, taught by Prof. Greg Turk.
Everything is pure Java from scratch without any 3rd-party libraries, including all the linear-algebra math.
The project includes: KD-BVH, Instancing, Distribution Ray Tracing(soft shadow, depth of field, motion blur, glossy reflection, anti-aliasing), and more to be added.
You need to download Processing first: https://processing.org/download
Then, double-click:
p3_ray_tracer_acc_dist.pde
to open the software and click Run.
- https://faculty.cc.gatech.edu/~turk/bunny/bunny.html
- http://simonstechblog.blogspot.com/2020/01/note-on-sampling-ggx-distribution-of.html
- https://schuttejoe.github.io/post/ggximportancesamplingpart1/
- https://agraphicsguynotes.com/posts/sample_microfacet_brdf/
- http://filmicworlds.com/blog/filmic-tonemapping-operators/
- https://tavianator.com/2011/ray_box.html
- https://graphics.pixar.com/library/OrthonormalB/paper.pdf
- https://github.com/skarupke/heap
- https://seblagarde.wordpress.com/2013/04/29/memo-on-fresnel-equations/
- http://jcgt.org/published/0007/04/01/
- http://jcgt.org/published/0003/02/03/
- https://www.gdcvault.com/play/1024478/PBR-Diffuse-Lighting-for-GGX
- https://www.cs.cornell.edu/~srm/publications/EGSR07-btdf.html
- https://jcgt.org/published/0009/04/01/
- https://psychopath.io/post/2021_01_30_building_a_better_lk_hash
- https://github.com/skeeto/hash-prospector
- https://web.maths.unsw.edu.au/~fkuo/sobol/