SoftBinary Coding uses a stochastic binary latent space and a novel rate-optimal binary channel simulation to address train-test mismatch and smoothness bias in neural compression, with experimental gains over NTC and SOTA vector quantization results.
Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis , year =
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SoftBinary Coding: A New Information-Theoretic Neural Compression Paradigm
SoftBinary Coding uses a stochastic binary latent space and a novel rate-optimal binary channel simulation to address train-test mismatch and smoothness bias in neural compression, with experimental gains over NTC and SOTA vector quantization results.