Microsoft has launched a public preview of Super Resolution, an AI-powered feature to improve video quality in Microsoft Teams.
Initially available on Snapdragon X-based Copilot+ PCs, this feature uses AI to enhance resolution, resulting in sharper graphics even in poor network conditions.
Microsoft plans to make Super Resolution generally available in March and expand its compatibility to Intel and AMD Copilot+ PCs later.

Super Resolution is extremely useful in situations where low bandwidth decreases video quality to 360p. Unlike traditional upscaling approaches, which often create blurriness, this AI-driven enhancement reconstructs video clarity with minimal quality loss. This enhances virtual communication by making video calls more seamless and visually appealing.
The AI processing required to run Super Resolution is intensive; it only runs on devices with powerful NPUs. To optimize power consumption, the feature is automatically disabled when the device runs on battery but automatically reactivates when a power source is connected. Users can also manually adjust this feature from the Microsoft Teams video settings menu.
Microsoft has conducted a subjective video quality assessment to determine the efficacy of Super Resolution. The results revealed a significant improvement in video clarity, with an average gain of +0.6 in the Comparative Mean Opinion Score (CMOS). Additionally, 68% of participants rated the enhanced video quality superior, reinforcing the potential of AI-driven upscaling in boosting user experience.

Currently, Super Resolution is exclusive to the Microsoft Teams Windows software on Snapdragon X-based Copilot+ PCs, including devices from manufacturers like Surface, Dell, HP, Asus, Acer, Samsung, and Lenovo.
As more users adopt Copilot+ PCs, Microsoft plans to improve and integrate the feature into a broader range of devices. The company envisions this being a standard feature, ensuring consistent, high-quality video chats across Teams.
With the latest update, Microsoft Teams continues to push the limits of AI-powered video optimization. As technology advances, consumers can anticipate highly refined experiences that make virtual meetings more engaging and effective, regardless of network conditions.