A learned, orthogonality-constrained lattice codebook, optimized end-to-end with Babai rounding and a factored Gaussian mixture rate model, improves rate-distortion performance of neural image codecs over uniform scalar quantization.
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Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
A learned, orthogonality-constrained lattice codebook, optimized end-to-end with Babai rounding and a factored Gaussian mixture rate model, improves rate-distortion performance of neural image codecs over uniform scalar quantization.