Streaming G-Buffer Compression for Multi-Sample Anti-Aliasing
Ethan Kerzner, Marco Salvi
Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics, 2014, pp. 1--7.
Abstract: We 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.
BibTeX format:
@inproceedings{hpg.20141088,
  author = {Ethan Kerzner and Marco Salvi},
  title = {Streaming G-Buffer Compression for Multi-Sample Anti-Aliasing},
  booktitle = {Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics},
  pages = {1--7},
  year = {2014},
}
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