AFP-GIC transfers adaptive fused priors from a frozen AdaCode model for prior-guided reconstruction in controllable generative image compression, cutting decoder latency 18.1% and parameters 20.5% versus DC-VIC with competitive PSNR and better NIQE at low bitrates.
GANs trained by a two time-scale update rule converge to a local Nash equilibrium,
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Adaptive Fused Prior Transfer for Controllable Generative Image Compression
AFP-GIC transfers adaptive fused priors from a frozen AdaCode model for prior-guided reconstruction in controllable generative image compression, cutting decoder latency 18.1% and parameters 20.5% versus DC-VIC with competitive PSNR and better NIQE at low bitrates.