Data-free Multistep Diffusion Distillation
cs.CV
Submitted: 2026-10-13
Updated: 2026-10-13
Comments: 22 pages, 14 figures, 10 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
- Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Text-to-Image Generation
- FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
- Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
- Rectified Flow: A Marginal Preserving Approach to Optimal Transport
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
- DreamFusion: Text-to-3D using 2D Diffusion
- Progressive Distillation for Fast Sampling of Diffusion Models
- Multistep Distillation of Diffusion Models via Moment Matching
- Denoising Diffusion Implicit Models
- Consistency Models
- Score-Based Generative Modeling through Stochastic Differential Equations
- Diffusion-GAN: Training GANs with Diffusion
- Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
- EM Distillation for One-step Diffusion Models
- Improved Distribution Matching Distillation for Fast Image Synthesis
- Few-Step Diffusion via Score identity Distillation
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