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20242026
most citedGuided Diffusion for Fast Inverse Design of Density-based Mechanical Metamaterials

4 citations · 6 across the 6 of their papers we have counts for

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cs.CV2026

Hybrid-Basis Feature Forecasting for Diffusion Sampling Acceleration

Kai-Liang Cheng, Yuan-Yuan Cheng, Yu-fan Jin +1

We propose Hybrid-Basis Feature Forecasting (HybridFF), a training-free, plug-and-play framework for accelerating diffusion sampling. To capture local smoothness, long-range trends…