Q-GESCO uses quantized diffusion models to regenerate images from semantic maps in noisy channels, matching full-precision performance with up to 75% memory and 79% FLOP reductions.
Language-oriented communication with semantic coding and knowledge distillation for text- to-image generation,
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Lightweight Diffusion Models for Resource-Constrained Semantic Communication
Q-GESCO uses quantized diffusion models to regenerate images from semantic maps in noisy channels, matching full-precision performance with up to 75% memory and 79% FLOP reductions.