CCVFM replaces the inner noise source in hierarchical rectified flow matching with a data-informed Gaussian mixture surrogate from a Sinkhorn coreset, yielding a closed-form conditional velocity law and competitive few-step generation on MNIST, CIFAR-10, ImageNet-32, and CelebA-HQ.
Consistency models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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citation-polarity summary
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Venom is an educational PyTorch toolkit that packages multiple generative modeling families under a single MNIST-first interface with reproducible scripts and tutorials.
citing papers explorer
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Coreset-Induced Conditional Velocity Flow Matching
CCVFM replaces the inner noise source in hierarchical rectified flow matching with a data-informed Gaussian mixture surrogate from a Sinkhorn coreset, yielding a closed-form conditional velocity law and competitive few-step generation on MNIST, CIFAR-10, ImageNet-32, and CelebA-HQ.
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Venom: A PyTorch Generative Modeling Toolkit
Venom is an educational PyTorch toolkit that packages multiple generative modeling families under a single MNIST-first interface with reproducible scripts and tutorials.