Training high-quality diffusion models is computationally expensive, and inference-time guidance often adds further sampling cost. In this work, we introduce Swift, a simple yet effective self-guided
Training high-quality diffusion models is computationally expensive, and inference-time guidance often adds further sampling cost. In this work, we introduce Swift, a simple yet effective self-guided
Details from Hugging Face ↗.
SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation was first seen on Hugging Face · Daily papers on Oct 21, 2026. Since then it has appeared in 10 checks on 1 different day. Its best position was #6 of 30, reached on Oct 21, 05:18 UTC. It dropped off the list after Oct 21, 21:18 UTC.
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#6 on Hugging Face · Daily papers, on Oct 21, 05:18 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Oct 21, 2026 and has been on the list on 1 day (10 checks) since.