News·SN85 Vidaio Medium·May 9, 2025, 13:50 UTC
Video Upscaling: What is it, Why do we need it, and Why are we rethinking it with AI
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As screen resolutions climb and consumer expectations follow, the demand for high-quality video is everywhere, from streaming and gaming to social media and online meetings. But what if your original footage was never meant for 4K? What if the best version of that video is a grainy low resolution copy sitting on an old hard drive? This is where video upscaling comes in, the art and the science of making low-resolution videos look crisp, clean, and modern. What is Video Upscaling? In the simplest terms, video upscaling means converting a video from a lower resolution to a higher one e.g. SD to HD, or HD to 4K. Traditional upscaling methods (like bilinear or bicubic interpolation) fill in missing pixels by guessing based on the surrounding ones. The results are technically correct in terms of resolution, but often visually underwhelming: soft edges, smeared textures, and missing detail. This is where AI-based upscaling enters the scene. Instead of guessing based on neighboring pixels alone, AI models are trained on massive datasets of high and low-resolution video pairs. These models learn to infer the textures, edges, and details that likely existed in the original scene, and generate them in the upscaled version. Projects like Video2X, a popular open-source tool that combines various AI upscalers, and ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks), have shown just how far this technology can go. ESRGAN in particular, set a new standard by using GANs (Generative Adversarial Networks) to generate sharp, photo-realistic upscales with fewer artifacts than traditional methods. Paired with tools like Video2X, which chains frame-by-frame image upscaling with motion consistency, these methods can turn an old, blurry video into something that feels remastered. Something that would have previously taken months of painstaking work can now be done in a matter of minutes. Why do we need it? The need for video upscaling is everywhere; there are thousands, if n
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SN85 Vidaio at a glance
SN85, Vidaio (α token ᚱ), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.005466 τ (≈ $1.24), against 13,118 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 1.5% APR, emissions add 0.000410 τ to the pool each block, epochs run every 360 blocks. It was registered at block #5,258,781.
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