62 citations · 74 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
Optimizing Hierarchical Image VAEs for Sample Quality
Eric Luhman, Troy Luhman
While hierarchical variational autoencoders (VAEs) have achieved great density estimation on image modeling tasks, samples from their prior tend to look less convincing than models…
cs.LG2022★ 5 cited
Improving Diffusion Model Efficiency Through Patching
Troy Luhman, Eric Luhman
Diffusion models are a powerful class of generative models that iteratively denoise samples to produce data. While many works have focused on the number of iterations in this sampl…