Omni-SR

Omni-SR is a specialized deep learning framework designed to address the unique challenges of Omnidirectional Image Super-Resolution (OISR). Unlike standard image super-resolution models, Omni-SR accounts for the geometric distortions inherent in Equirectangular Projection (ERP), which is the standard format for 360-degree content. Its architecture leverages a Lightweight Omni-SR (LOSR) model that utilizes Omni-directional Distillation Blocks (ODB) and a Large-scale Feature Interaction (LFI) module. This allows for high-performance upscaling while maintaining a significantly lower parameter count than competing models. By 2026, Omni-SR has become the industry standard for VR/AR content pipelines, where low-latency and high-fidelity upscaling of 4K and 8K spherical video are critical. The framework is highly optimized for GPU-accelerated inference and supports multi-scale feature extraction, ensuring that high-frequency details are preserved across the entire spherical surface without the artifacts typically found in planar SR models.