Towards Practical Meshlet Compression
Bastian Kuth1, Max Oberberger2, Felix Kawala1,2, Sander Reitter1,2, Sebastian Michel1, Matthäus G. Chajdas2, Quirin Meyer1
1Coburg University of Applied Sciences and Arts 2AMD
Accepted to the Symposium on Vision, Modeling, and Visualization (VMV) 2024. Won best paper award.
Abstract
We propose a codec specifically designed for meshlet compression, optimized for rapid data-parallel GPU decompression within a mesh shader. Our compression strategy orders triangles in optimal generalized triangle strips (GTSs), which we generate by formulating the creation as a mixed integer linear program (MILP). Our method achieves index buffer compression rates of 16:1 compared to the vertex pipeline and crack-free vertex attribute quantization based on user preference. The 15.5 million triangles of our teaser image decompress and render in 0.59 ms on an AMD Radeon RX 7900 XTX
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