A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.
DPM-Solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps
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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.
A tutorial that unifies diffusion probabilistic models, score-based generative modeling, and SDE methods by deriving forward and reverse dynamics from a shared Gaussian noising process.
citing papers explorer
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Bridging Diffusion Pruning and Step Distillation with Teacher-Aligned Repair
A short teacher-alignment repair stage between structured pruning and one-step distillation yields a 20% pruned one-step generator that improves FID from 3.53 to 3.12 on ImageNet-512 while reducing NFE from 63 to 1.
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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.
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A Tutorial on Diffusion Theory: From Differential Equations to Diffusion Models
A tutorial that unifies diffusion probabilistic models, score-based generative modeling, and SDE methods by deriving forward and reverse dynamics from a shared Gaussian noising process.