Gaussian-sampled non-uniform quantization plus a two-stage diffusion reconstruction generates synthetic infrared images that improve small target detection under data scarcity.
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Exploiting Gaussian Agnostic Representation Learning with Diffusion Priors for Enhanced Infrared Small Target Detection
Gaussian-sampled non-uniform quantization plus a two-stage diffusion reconstruction generates synthetic infrared images that improve small target detection under data scarcity.