AI RESEARCH
Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
arXiv CS.CV
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ArXi:2509.23774v3 Announce Type: replace Vector-quantized based models have recently nstrated strong potential for visual prior modeling. However, existing VQ-based methods simply encode visual features with nearest codebook items and train index predictor with code-level supervision. Due to the richness of visual signal, VQ encoding often leads to large quantization error. Furthermore