Awesome-Consistency-Models

Awesome list of consistency models

Conference

• Consistency Models (ICML 2023)[paper]

• Improved Techniques for Training Consistency Models (ICLR 2024)[paper]

• Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion (ICLR 2024)[paper]

• ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models (CVPR 2024)[paper]

• Consistency Large Language Models: A Family of Efficient Parallel Decoders (ICML 2024)[paper]

• Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation (RSS 2024) [paper]

• CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model (ACM MM 2023)[paper]

Preprint

• Phased Consistency Model (arXiv 2024) [paper]

• AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning (arXiv 2024)[paper]

• RL for Consistency Models: Faster Reward Guided Text-to-Image Generation (arXiv 2024) [paper]

• Latent Consistency Models: Synthesizing High-Resolution Images with Few-step Inference (arXiv 2023) [paper]

• Music Consistency Models (arXiv 2024) [paper]

• Multistep Consistency Models (arXiv 2024) [paper]

• Towards a mathematical theory for consistency training in diffusion models (arXiv 2024) [paper]

• Convergence guarantee for consistency models (arXiv 2023) [paper]

• SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation (arXiv 2024) [paper]

• CCM: Adding Conditional Controls to Text-to-Image Consistency Models (arXiv 2023) [paper]

• Bidirectional Consistency Models (arXiv 2024) [paper]

• Generalized Consistency Trajectory Models for Image Manipulation (arXiv 2024) [paper]

• Consistency Models Made Easy (Blog 2024) [Blog]

• Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis (arXiv 2024) [paper]

• TRACT

• BOOT

Related Works

• Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021) [paper]

• Flow Matching for Generative Modeling (ICLR 2023) [paper]

• Elucidating the Design Space of Diffusion-Based Generative Models (NeurIPS 2022) [paper]

• Denoising Diffusion Probabilistic Models (NeurIPS 2020) [paper]

• Stable Target Field for Reduced Variance Score Estimation in Diffusion Models (ICLR 2023) [paper]

• Denoising Diffusion Implicit Models (ICLR 2021) [paper]

• DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps (NeurIPS 2022) [paper]

• Progressive Distillation for Fast Sampling of Diffusion Models (ICLR 2022) [paper]

• On Distillation of Guided Diffusion Models (CVPR 2023) [paper]

• SOFT DIFFUSION SCORE MATCHING FOR GENERAL CORRUPTIONS

If you find some work missing, please PR.