Multi-resolution enhancement for full-spectrum neural representations
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TL;DR - Ni et al. introduce WIEN-INR, an implicit neural representation for compressing scientific data in a multiscale wavelet domain. The approach aims to improve compression while retaining fine-grained details and signal fidelity.
- Represents scientific data using an implicit neural representation.
- Operates across multiple resolutions in the wavelet domain.
- Targets both compact storage and preservation of fine details.
- Focuses on maintaining signal fidelity during compression.
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Multi-resolution enhancement for full-spectrum neural representations
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TL;DR - Ni et al. introduce WIEN-INR, an implicit neural representation for compressing scientific data in a multiscale wavelet domain. The approach aims to improve compression while retaining fine-grained details and signal fidelity.
- Represents scientific data using an implicit neural representation.
- Operates across multiple resolutions in the wavelet domain.
- Targets both compact storage and preservation of fine details.
- Focuses on maintaining signal fidelity during compression.