AINeutralarXiv – CS AI · 8h ago6/10
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Channel-wise Vector Quantization
Researchers introduce Channel-wise Vector Quantization (CVQ), a novel image tokenization method that quantizes individual channels rather than spatial patches, paired with a Channel-wise Autoregressive (CAR) generation model that produces images by progressively refining visual details. The approach achieves 100% codebook utilization and demonstrates strong performance on text-to-image generation benchmarks, suggesting a fundamentally different approach to visual AI tasks.