SoftCap: Soft-Budget Control for Diffusion Transformer Acceleration 事件

SoftCap: Soft-Budget Control for Diffusion Transformer Acceleration arXiv:2605.27075v1 Announce Type: new Abstract: Diffusion Transformers (DiTs) achieve strong visual quality, but their iterative denoising process requires many costly Transformer evaluations. Training-free acceleration methods reduce this cost by caching, forecasting, or verifying intermediate features, yet the runtime decision of when to execute a Full step is often driven by fixed schedules or hand-tuned thresholds. We propo