This is the final post of the series where I explain the ideas I tried in order to improve the upsampling of the half-resolution SSAO render target of the VKDF sponza demo that was written by Iago Toral. In the previous posts, I performed experiments to explore different upsampling ideas and I explained the logic behind adopting or rejecting each one. At the end, I’ve managed to find a method that reduces the artifacts to an acceptable level. So, in this post I’ll try to present it completed and in detail.
Continue reading Depth-aware upsampling experiments (Part 6: A complete approach to upsample the half-resolution render target of a SSAO implementation)
Tag: samples classification
Depth-aware upsampling experiments (Part 5: Sample classification tweaks to improve the SSAO upsampling on surfaces)
This is another post of the series where I explain the ideas I try in order to improve the upsampling of the half-resolution SSAO render target of the VKDF sponza demo that was written by Iago Toral. In a previous post (3.2), I had classified the sample neighborhoods in surface neighborhoods and neighborhoods that contain depth discontinuities using the normals. Having this information about the neighborhoods, in the last post, I demonstrated how to further improve the nearest depth algorithm (that was explained in parts 1 and 2 of these series) and reduce the artifacts in the neighborhoods where we detect depth discontinuities. The result was good but we’ve seen that there are still some imperfections in a few edge cases. So, in this post, I am going to talk about some ideas I had to further improve the SSAO and my final decisions.