In our experiments, we conduct both quantitative analyses on a common benchmark and qualitative evaluations using high-resolution images, allowing us to robustly compare model performance.
The human verse dataset created from the MS-COCO 2014 validation set enables our evaluation, using pose estimation to extract relevant images for testing our methods.
#image-generation #machine-learning #diffusion-model #computational-creativity #natural-language-processing
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