A Fast and Stable Feature-Aware Motion Blur Filter

ACM SIGGRAPH/EuroGraphics High Performance Graphics 2014

Jean-Philippe Guertin, University of Montreal
Morgan McGuire, NVIDIA and Williams College
Derek Nowrouzezahrai, University of Montreal

Paper (58 MB PDF)
Paper (low res) (1.5 MB PDF)
Video results (225MB MP4)
Video results (YouTube)


High-quality motion blur is an increasingly important effect in interactive graphics however, even in the context of offline rendering, it is often approximated as a post process. Recent motion blur post-processes (e.g., [MHBO12, Sou13]) generate plausible results with interactive performance, however distracting artifacts still remain in the presence of e.g. overlapping motion or large- and fine-scale motion features. We address these artifacts with a more robust sampling and filtering scheme with only a small additional runtime cost. We render plausible, temporally-coherent motion blur on several complex animation sequences, all in under 2ms at a resolution 1280 x 720. Moreover, our filter is designed to integrate seamlessly with post-process anti-aliasing and depth of field.


  author = {Jean-Philippe Guertin and Morgan McGuire and Derek Nowrouzezahrai},
  title = {A Fast and Stable Feature-Aware Motion Blur Filter},
  month = {June},
  day = {24},
  year = {2014},
  pages = {10},
  booktitle = {HPG},
  publisher = {ACM/Eurographics},
  url = {http://graphics.cs.williams.edu/papers/MotionBlurHPG14}