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I notice that your recent work on control variates also uses largesteps on 512x256 images. Wondering if it can handle higher resolutions for images and volumes. I tried largesteps on voxel grids up to 64x64x64 but hit a "CHOLMOD error: problem too large" at 128x128x128. The conjugate gradient solver seems to be not as stable as the Cholesky solver.
Is there a more efficient solver for regular lattices (like images and volumes)? Could you share your insights on how to implement such solvers? Your guidance would be greatly appreciated!
The text was updated successfully, but these errors were encountered:
Since the size of the connectivity matrix grows cubically for volumes, it's expected to run out of memory at some point, which depends on the capabilities of your machine. Could you please share a reproducer and specs of your setup ?
Hi, thanks for the impressive work!
I notice that your recent work on control variates also uses largesteps on 512x256 images. Wondering if it can handle higher resolutions for images and volumes. I tried largesteps on voxel grids up to 64x64x64 but hit a "CHOLMOD error: problem too large" at 128x128x128. The conjugate gradient solver seems to be not as stable as the Cholesky solver.
Is there a more efficient solver for regular lattices (like images and volumes)? Could you share your insights on how to implement such solvers? Your guidance would be greatly appreciated!
The text was updated successfully, but these errors were encountered: