New arXiv work proposes EigDiff, using CLIP-space PCA eigenvectors to pick representative training samples and cut diffusion model dataset size with minimal quality loss.
#AI #DiffusionModels #MachineLearning #DataEfficiency
https://arxiv.org/abs/2610.20999
