Consistent Distribution Matching for Data-Free Diffusion Distillation
cs.LG, cs.AI, cs.CV
Submitted: 2026-10-06
Updated: 2026-10-06
Project page: https://consistentdmd.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
- Flow map matching with stochastic interpolants: A mathematical framework for consistency models
- Large Scale GAN Training for High Fidelity Natural Image Synthesis
- pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
- One Step Diffusion via Shortcut Models
- Consistency Models Made Easy
- Mean Flows for One-step Generative Modeling
- Improved Mean Flows: On the Challenges of Fastforward Generative Models
- STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
- Classifier-Free Diffusion Guidance
- Guiding a Diffusion Model with a Bad Version of Itself
- Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
- Truncated Consistency Models
- REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers
- Flow-GRPO: Training Flow Matching Models via Online RL
- Learning to Integrate Diffusion ODEs by Averaging the Derivatives
- Simplifying, Stabilizing and Scaling Continuous-Time Consistency Models
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
- Progressive Distillation for Fast Sampling of Diffusion Models
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