Fast Analytical Motion Blur with Transparency

We introduce a practical parallel technique to achieve real-time motion blur for textured and semi-transparent triangles with high accuracy using modern commodity GPUs. In our approach, moving triangles are represented as prisms. Each prism is bounded by the initial and final position of the triangle during one animation frame and three bilinear patches on the sides. Each prism covers a number of pixels for a certain amount of time according to its trajectory on the screen. We efficiently find, store and sort the list of prisms covering each pixel including the amount of time the pixel is covered by each prism. This information, together with the color, texture, normal, and transparency of the pixel, is used to resolve its final color. We demonstrate the performance, scalability, and generality of our approach in a number of test scenarios, showing that it achieves a visual quality practically indistinguishable from the ground truth in a matter of just a few milliseconds, including rendering of textured and transparent objects. A supplementary video has been made available online

Theory and Analysis of Higher-Order Motion Blur Rasterization

A common assumption in motion blur rendering is that the triangle vertices move in straight lines. In this paper, we focus on scenarios where this assumption is no longer valid, such as motion due to fast rotation and other non-linear characteristics. To that end, we present a higher-order representation of vertex motion based on Bézier curves, which allows for more complex motion paths, and we derive the necessary mathematics for these. In addition, we extend previous work to handle higher-order motion by developing a new tile vs. triangle overlap test. We find that our tile-based rasterizer outperforms all other methods in terms of sample test efficiency, and that our generalization of an interval-based rasterizer is often fastest in terms of wall clock rendering time. In addition, we use our tile test to improve rasterization performance by up to a factor 5x for semi-analytical motion blur renderin