ctm
Consistency Trajectory Model (CTM) delivers state-of-the-art results on CIFAR-10 and ImageNet 64x64, as presented at ICLR 2024. CTM effectively manages computational demands while maintaining sample fidelity, offering various sampling options via probability flow learning of ODE trajectories. The PyTorch implementation, along with codes, checkpoints, and evaluation scripts, is accessible in the official repository for developers interested in efficient and high-quality image processing.
