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conftrace_

consistency model

57 papers

CM

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