Reproduce “Test-Time Iterative Error Correction for Efficient Diffusion Models” on OpenResearch

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About this paper

Yunshan Zhong, Weiqi Yan, Yuxin Zhang

IEC refines image generation from an efficient diffusion model without retraining, by evaluating the model again on provisional outputs at selected denoising steps. This aims to limit errors that can compound across steps, at the cost of extra computation. On CIFAR-10, W8A8 sampling with 100 DDIM steps improves FID from 4.32 to 3.88 with 20% time overhead; this result covers one tested setting.

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