TINC: Tree-structured Implicit Neural Compression. (arXiv:2211.06689v3 [cs.CV] UPDATED)

Implicit neural representation (INR) can describe the target scenes with high
fidelity using a small number of parameters, and is emerging as a promising
data compression technique. However, INR in intrinsically of limited spectrum
coverage, and it is non-trivial to remove redundancy in diverse complex data
effectively. Preliminary studies can only exploit either global or local
correlation in the target data and thus of limited performance. In this paper,
we propose a Tree-structured Implicit Neural Compression (TINC) to conduct
compact …

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