AI RESEARCH
Dual-End Consistency Model
arXiv CS.CV
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ArXi:2602.10764v2 Announce Type: replace The slow iterative sampling nature remains a major bottleneck for the practical deployment of diffusion and flow-based generative models. While consistency models (CMs) represent a state-of-the-art distillation-based approach for efficient generation, their large-scale application is still limited by two key issues