Kerzner, EthanSalvi, MarcoIngo Wald and Jonathan Ragan-Kelley2015-07-062015-07-062014978-3-905674-60-62079-8679https://doi.org/10.2312/hpg.20141088https://diglib.eg.org:443/handle/10.2312/hpg.20141088We present a novel lossy compression algorithm for G-buffers that enables deferred shading applications with high visibility sampling rates. Our streaming compression method operates in a single geometry rendering pass with a fixed, but scalable, amount of per pixel memory. We demonstrate reduced memory requirements and improved performance, with minimal impact on image quality.Streaming G-Buffer Compression for Multi-Sample Anti-Aliasing