Co-occurring keywords · papers mentioning both
Papers
Simplifying, Stabilizing and Scaling Continuous-time Consistency Models
ICLR 2025
SNR-Aligned Consistent Diffusion for Adaptive Speech Enhancement
Interspeech 2025
SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation
ICLR 2025
Towards a mathematical theory for consistency training in diffusion models
AISTATS 2025
Truncated Consistency Models
ICLR 2025
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)
CVPR 2025
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models
ICML 2024
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models
NAACL 2024
Consistency Diffusion Bridge Models
NeurIPS 2024
Consistency-GAN: Training GANs with Consistency Model
AAAI 2024
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
ICLR 2024
Consistency Models for Scalable and Fast Simulation-Based Inference
NeurIPS 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
NeurIPS 2024
Constant Acceleration Flow
NeurIPS 2024
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination
NeurIPS 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
NeurIPS 2024
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis
NeurIPS 2024
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
NeurIPS 2024
Improved Techniques for Training Consistency Models
ICLR 2024
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
NeurIPS 2024
Nearest Neighbour Score Estimators for Diffusion Generative Models
ICML 2024
Phased Consistency Models
NeurIPS 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
NeurIPS 2024
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
ICML 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NeurIPS 2024