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arXiv Computer Vision By Tong Wang, Yuting He, Bin Ren, Yutong Xie, Guanyu Yang

Beyond the Foreground: FOV-Aware Polyp Image Synthesis via Lesion-Guided Adaptive Mucosal Context Propagation

Read the original on arXiv Computer Vision →

The paper introduces LAMP, a foreground‑guided framework for synthesizing realistic polyp images that preserves the supplied lesion while generating compatible mucosal tissue. LAMP separates the lesion, valid mucosa, and camera exterior using a field‑of‑view mask, employs lesion‑to‑mucosa cross‑attention to extract appearance conditions, and propagates these conditions over legal tissue support via a FOV‑constrained multidirectional Vision Receptance Weighted Key‑Value mechanism. Experiments on five polyp datasets show that LAMP outperforms existing methods in generation quality and consistently improves five downstream segmentation models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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