A notable trend in recent research involves integrating combined semantic information, typically guided by semantic segmentation maps, to provide contextual understanding of damaged areas.
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Feedback Recorrection Semantic-Based Image Inpainting Under Semi-Supervised Learning.
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As demonstrated in Table 1 , a clear trend emerges: inpainting performance, gauged by PSNR and SSIM, significantly improves across all tested mask ratios with an increasing proportion of ground-truth labels.