Test02 - GPU Path Tracing - Camera Depth of Field

Channel:
Subscribers:
622
Published on ● Video Link: https://www.youtube.com/watch?v=Ulb_F7EBarA



Duration: 2:54
2,319 views
52


Continuing to experiment with, and develop, my Monte Carlo-based path tracer. I am using CUDA to take advantage of the GPU compute performance.

This short video shows the first-pass of the depth of field effect for the camera. Additional camera properties (focal distance, aperture size, etc.) allow the user to interactively modify the depth of field effect and see the results in real time. I have also added a couple more basic material types (that still need work).

The rendered image converges over time and the progressive updates show the current state of the accumulation buffer (i.e. the generated image).

Written in C++ (Visual Studio) and running on Windows 10 Pro (64-bit).

GPU - nVidia Geforce GTX 1080 Ti (EVGA FTW3)
CPU - Intel i7-6900K







Tags:
path tracer
path tracing
monte carlo
render
realtime
real time
3d
nvidia
gpu
intel
i7 6900k
gtx 1080 ti
progressive
dof
camera
depth of field