Add ddim noise comparative analysis pipeline #2665
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Research question: What visual concepts do the diffusion models learn from each noise level during training?
The P2 weighting (CVPR 2022) paper proposed an approach to answer this question, which is their second contribution.
The approach consists of the following steps:
strength
is a value between 0.0 and 1.0, that controls the amount of noise that is added to the input image. Values that approach 1.0 allow for lots of variations but will also produce images that are not semantically consistent with the input.The authors used openai/guided-diffusion model to denoise images in FFHQ dataset. This pipeline extends their second contribution by investigating DDIM on any input image.
Here is the result of this pipeline (which is DDIM) on CelebA-HQ dataset.