AI RESEARCH
Oracle Supervision Transfers for Hyperparameter Prediction in Model-Based Image Denoising
arXiv CS.LG
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ArXi:2605.20479v1 Announce Type: cross Hyperparameter prediction is a critical practical bottleneck for model-based image denoisers, ranging from classical TV/TGV variational solvers to modern diffusion-based models such as DiffPIR. While existing learned predictors can achieve near-oracle performance, this approach scales poorly: each new configuration conventionally requires its own oracle-labeled