SwiftAudio performs caption-only distillation of a one-step TTA diffusion model by adapting VSD to audio with temporal smoothness regularization, achieving SOTA among one-step methods on AudioCaps and Clotho using ~45K captions.
Pseudo numerical methods for diffusion models on manifolds
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Beta Sampling uses spectral analysis to select critical denoising steps in diffusion models, outperforming uniform sampling on FID and IS metrics.
citing papers explorer
-
SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation
SwiftAudio performs caption-only distillation of a one-step TTA diffusion model by adapting VSD to audio with temporal smoothness regularization, achieving SOTA among one-step methods on AudioCaps and Clotho using ~45K captions.
-
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis
Beta Sampling uses spectral analysis to select critical denoising steps in diffusion models, outperforming uniform sampling on FID and IS metrics.