Enhancing Implicit Neural Representations With Transfer Learning
Implicit Neural Representation (INR) has emerged as a powerful tool for encapsulating high-dimensional data within neural network parameters, providing continuous and differentiable representations. However, INR faces challenges such as prioritizing low-frequency components over high-frequency detai...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
IEEE
2025-01-01
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| Schriftenreihe: | IEEE Access |
| Schlagworte: | |
| Online-Zugang: | https://ieeexplore.ieee.org/document/11152063/ |
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