A geometry-aware dataset condensation technique reformulates subset selection as one-sided partial optimal transport alignment plus regularization to improve diffusion model training fidelity.
arXiv preprint arXiv:2507.05914 , year=
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JuZhou 1.0 is a 0.387B-parameter T2I diffusion model with 4-step inference achieving 0.69 GenEval, trained on 9M Chinese pairs using Sugon K100 accelerators and deployable on Android/iOS devices.
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Geometry-Aware Dataset Condensation for Diffusion Model Training
A geometry-aware dataset condensation technique reformulates subset selection as one-sided partial optimal transport alignment plus regularization to improve diffusion model training fidelity.
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JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators
JuZhou 1.0 is a 0.387B-parameter T2I diffusion model with 4-step inference achieving 0.69 GenEval, trained on 9M Chinese pairs using Sugon K100 accelerators and deployable on Android/iOS devices.