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Minimizing distortion, not maximizing codebook utilization, is the key to achieving superior reconstruction fidelity in visual tokenization.
VQ-Transplant slashes training costs by 95% while maintaining near state-of-the-art reconstruction quality, making advanced VQ techniques accessible to resource-constrained researchers.
