The content introduces SARGD as a training-free method for artifact-free super-resolution. It addresses over-smoothing issues and improves image fidelity through Reality-Guided Refinement (RGR) and Self-Adaptive Guidance (SAG). Extensive experiments demonstrate superior results compared to existing methods, reducing sampling steps by 2×. The study includes detailed methodology, experimental setups, comparisons with state-of-the-art methods, ablation studies on denoising strategies, realistic latent update approaches, impact of artifact detection, and inference steps analysis.
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by Qingping Zhe... um arxiv.org 03-26-2024
https://arxiv.org/pdf/2403.16643.pdfTiefere Fragen