arXiv Machine Learning June 19, 2026 By Jeeho Ryoo, Yongchan Jung, Muhammad Ali Khaliq, Weidong Zhang, Jiatong Han, Byeong Kil Lee

Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures

Read the original on arXiv Machine Learning →

arXiv:2606. 19365v1 Announce Type: new Abstract: Diffusion models have become essential for high-fidelity 3D MRI synthesis, yet their deployment remains constrained by substantial GPU resource demands arising from hundreds of U-Net evaluations per sample and a highly heterogeneous kernel behavior.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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