Baking textures with machine learning enhancements
Nov 28, 2016 by CGPress Staff
Homam Bahnassi has posted an interesting article showcasing R&D work completed at INFramez games designed to improve the quality of texture baking using machine learning. According to Homam, a typical workflow involves using texel density to evaluate quality, but this misses the importance of human perception. Their approach promises significantly better results without having to increase texture sizes. Currently the tool works only in Softimage, but if there is sufficient interest it may be ported to Unreal and Unity. Find out more on the INFramez blog.
City Lightmap comparison
Ambient occlusion baking