AI RESEARCH
SparkVSR: Interactive Video Super-Resolution via Sparse Keyframe Propagation
arXiv CS.AI
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ArXi:2603.16864v1 Announce Type: cross Video Super-Resolution (VSR) aims to re high-quality video frames from low-resolution (LR) estimates, yet most existing VSR approaches behave like black boxes at inference time: users cannot reliably correct unexpected artifacts, but instead can only accept whatever the model produces. In this paper, we propose a novel interactive VSR framework dubbed SparkVSR that makes sparse keyframes a simple and expressive control signal.