This repository implements EvTexture, a deep learning approach for video super-resolution that leverages event-camera data. Event cameras capture per-pixel brightness changes asynchronously rather than fixed-frame exposures, providing high temporal resolution. The model uses this event data to reconstruct high-resolution video frames with enhanced texture details. The work was published at ICML 2024 with a journal extension accepted to IEEE TPAMI 2026.