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optimizeMeshlet uses a basic scoring metric for number of vertices in the cache window; it works reasonably well, but when using meshlet compression, the compression ratio could be improved further by producing longer strips. That requires prioritizing matches by cache recency and triangles with low minimum valence so that we visit dead-ends earlier. This also reduces the efficiency of match>=2 early out: we need to examine a few edge matches to pick the best one. To address this tradeoff, we now allow specifying the level of optimization. At level 0, we use the old heuristic which is a little cheaper to compute. At level 1+, we use the new heuristic and early out after encountering level matches; in practice, level 3 or 4 results in maximum compression ratio, but level 1 or 2 are still useful to reduce the optimization cost at a more marginal benefit.
This improves the compression ratio by ~1 bit/triangle depending on the mesh.
Note that optimizeMeshletLevel can be used for further compression gains; also add it to the experimental function list.
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optimizeMeshletuses a basic scoring metric for number of vertices in thecache window; it works reasonably well, but when using meshlet compression,
the compression ratio could be improved further by producing longer strips.
That requires prioritizing matches by cache recency and triangles with low
minimum valence so that we visit dead-ends earlier.
This also reduces the efficiency of match>=2 early out: we need to examine
a few edge matches to pick the best one. To address this tradeoff, we now
allow specifying the level of optimization. At level 0, we use the old
heuristic which is a little cheaper to compute. At level 1+, we use the new
heuristic and early out after encountering level matches; in practice, level
3 or 4 results in maximum compression ratio, but level 1 or 2 are still
useful to reduce the optimization cost at a more marginal benefit.
This contribution is sponsored by Valve.