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M-OPD can leave up to 64.4% of potential performance untapped, but Open-MOPD closes this gap dramatically with innovative budget allocation strategies.
Weak models can teach strong ones how to act better, boosting performance without the heavy lifting of direct RL training.
Ditch slow, iterative diffusion for remote sensing super-resolution: FlowGS uses flow matching and Gaussian splatting to generate high-resolution images with competitive quality and much faster inference.
