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Awesome-Consistency-Models Awesome

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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)

  • 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]

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]

If you find some work missing, please PR.

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