SAwareSSGI-minecraft-22

Global Illumination (GI) is a strategy in computer graphics to add a certain degree of realism.  Several approaches exist to achieve such a visual effect for computer-generated imagery. The most physically accurate approach is through conventional raytracing. It produces similar realistic results by trading-off time and computational-resource intensive, making them unsuitable for real-time usage. For more real-time usage scenarios, a set of faster algorithms exists that utilize post-processing on top of rasterization rather than performing ray-tracing. Despite being faster, the algorithms are resource intensive due to multiple post-processing stages and produce incorrect lighting results due to insufficient information on screen-space features. Hence, we propose a Generative Adversarial Network (GAN) based approach to bring real-time GI effects by following the path of conventional screen-space GI techniques. We acquire surrounding graphical information into account by going beyond screen-space and producing consistent GI effects that are comparatively closer to their physically correct ray-tracing counterpart. Moreover, our model provides a better quality of generated output compared to the other recent model which utilized a similar approach by scoring 0.90811 in SSIM, 0.00093 in MSE, and 30.30576 dB in PSNR on our developed dataset.