Junoh Kang

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Overview#

Diffusion models require heavy computation resource due to iterative sampling strategy. Due to their sequential sampling strategy, many accleration algorithms trade sample quality for efficiency. However, there are a group of researches which trade compute for time. In this post, I review two papers accelerating sampling in time, which are motivated from PinT (Parallel in Time) algorithms:

  • Parallel Sampling of Diffusion Models
  • Self-Refining Diffusion Samplers: Enabling Paralleization via Parareal Iterations
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