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.
Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.SD 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Hybrid two-stage diffusion transformer architecture for instruction-guided audio editing via rectified flow that performs joint attention at low resolution then alternates joint and cross-attention at high resolution for improved performance and efficiency.
citing papers explorer
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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.
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Hybrid Diffusion Transformer for Instruction-Guided Audio Editing via Rectified Flow
Hybrid two-stage diffusion transformer architecture for instruction-guided audio editing via rectified flow that performs joint attention at low resolution then alternates joint and cross-attention at high resolution for improved performance and efficiency.