论文标题
MSP形式：单图的多尺度投影变压器
MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing
论文作者
论文摘要
降雪导致其复杂降解的特征引起的挑战。为此，有针对性的多尺度降雪降解对于学习有效降雪的网络至关重要。为了处理各种场景，我们提出了一个多尺度投影变压器（MSP形式），该投影变压器以多路的方式理解并涵盖了各种降雪功能，并整合了通过自我专业操作的清洁重建的全面场景上下文信息。对于各种降雪的当地细节，并行引入了本地捕获模块，以帮助重建干净的图像。这样的设计在三个缺失的基准数据集上实现了SOTA性能，同时使参数较低和计算复杂性，提供了实用性的保证。
Snow removal causes challenges due to its characteristic of complex degradations. To this end, targeted treatment of multi-scale snow degradations is critical for the network to learn effective snow removal. In order to handle the diverse scenes, we propose a multi-scale projection transformer (MSP-Former), which understands and covers a variety of snow degradation features in a multi-path manner, and integrates comprehensive scene context information for clean reconstruction via self-attention operation. For the local details of various snow degradations, the local capture module is introduced in parallel to assist in the rebuilding of a clean image. Such design achieves the SOTA performance on three desnowing benchmark datasets while costing the low parameters and computational complexity, providing a guarantee of practicality.
