In this paper, part of the DREAMING Challenge - Diminished Reality for
Emerging Applications in Medicine through Inpainting, we introduce a refined
video inpainting technique optimised from the ProPainter method to meet the
specialised demands of medical imaging, specifically in the context of oral and
maxillofacial surgery. Our enhanced algorithm employs the zero-shot ProPainter,
featuring optimized parameters and pre-processing, to adeptly manage the
complex task of inpainting surgical video sequences, without requiring any
training process. It aims to produce temporally coherent and detail-rich
reconstructions of occluded regions, facilitating clearer views of operative
fields. The efficacy of our approach is evaluated using comprehensive metrics,
positioning it as a significant advancement in the application of diminished
reality for medical purposes.

在这篇论文中，我们介绍了一种从 ProPainter 方法优化而来的视频修复技术，以满足口腔颌面外科医学图像的特殊需求。我们的增强算法采用了零样本的 ProPainter，具有优化的参数和预处理，能够熟练处理手术视频序列的修复任务，而不需要任何训练过程。它旨在产生时间上连贯且细节丰富的修复区域重建，以便更清晰地观察手术区域。通过使用综合指标评估我们的方法的有效性，将其定位为在医学领域应用虚拟现实的重要进展。