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About this paper
Feihong Shen, Chao Li, Yifeng Geng, Yongjian Deng, Hao Chen
Researchers developed PruneRepaint, a content-aware image retargeting framework that intelligently prunes pixels and adaptively repaints regions to fit arbitrary aspect ratios while preserving semantic content and visual quality. The method reduced the Saliency Discard Ratio to 0.151 and achieved the highest average user study score of 2.582 for 16:9 aspect ratio retargeting compared to existing methods.
Key insights
- A hybrid approach, combining content-aware pixel pruning with adaptive, image-conditioned generative repainting, effectively balances semantic preservation and visual quality across diverse aspect ratios.
- Incorporating hierarchical semantic and spatial saliency priors into seam carving allows for more intelligent content preservation, differentiating importance within objects and guiding pixel removal to minimize distortion.
- Selectively regenerating only necessary, localized regions using an image-guided diffusion model, rather than global generation, ensures better appearance consistency and mitigates artifacts without sacrificing the integrity of key foreground elements.
Summary by alphaXiv.
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