Sketch-based regularization allows in situ training of implicit neural compressors to approximately match offline performance on 2D/3D simulation data at high compression rates.
Kd-inr: Time-varying volumetric data compression via knowledge distillation-based implicit neural representation.IEEE Transactions on Visualization and Computer Graphics
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In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
Sketch-based regularization allows in situ training of implicit neural compressors to approximately match offline performance on 2D/3D simulation data at high compression rates.