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DualTSR is presented, a unified framework that formulates STISR as coupled continuous-discrete generation and achieves the best FID, LPIPS, ACC, and NED among the compared methods at both X2 and X4.
A novel Dual-Prior Collaborative Network (DPC-Net) is proposed, which achieves high-quality restoration by jointly exploiting degradation-semantic coupled priors and low-level visual priors and propagates coupled representations to the decoder.
TGFusion is proposed, a text-guided latent-space flow matching framework that unifies degradation suppression and cross-modal fusion and achieves superior or competitive performance in perceptual quality, image naturalness, structural-detail preservation, and infrared-saliency retention, while remaining robust across d...
This work proposes MeanSR, a one-step perceptual SR method that learns an LR-conditioned average velocity field to directly capture the finite-time transition from degraded or noisy inputs to plausible HR outputs and introduces a Stage-Aware Temporal Sampling strategy to improve trajectory learning.
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