MAN (Multi-scale Aggregation Network)

The Multi-scale Aggregation Network (MAN) represents a pinnacle in lightweight Single Image Super-Resolution (SISR) architecture, specifically designed for 2026's edge-computing demands. Unlike traditional heavy models that rely on dense residual blocks, MAN utilizes a sophisticated Multi-scale Aggregation Module (MAM) to capture both local and global feature dependencies simultaneously. By employing an efficient Large-scale Feature Aggregation (LFA) strategy and simplified channel attention mechanisms, it achieves state-of-the-art (SOTA) performance on PSNR and SSIM benchmarks while maintaining a significantly lower parameter count than predecessors like RCAN or SwinIR. In the 2026 market, MAN serves as the backbone for high-speed video upscaling and real-time mobile image processing, where computational efficiency is as critical as visual fidelity. Its architecture is optimized for modern NPUs, allowing for sub-30ms inference on 1080p to 4K upscaling tasks, making it the preferred choice for developers building responsive visual applications in telecommunications, medical imaging, and consumer electronics.