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Synthetic imagery sets new bar in AI training efficiency

MIT researchers have developed StableRep, an AI training method using synthetic images generated by text-to-image models, which surpasses traditional training on real images. The approach leverages multi-positive contrastive learning, promising more efficient, less biased, and resource-conscious machine learning development. ....

Phillip Isola , Huiwen Chang , Google Deepmind , David Fleet , Dilip Krishnan , University Of Toronto , Artificial Intelligence Laboratory , Lijie Fan , Yonglong Tian Phd , Neural Information Processing Systems , Mit Csail , Contrastive Learning , Synthetic Images , Stable Diffusion , Lijie Fan , Ai Image Generator , Yonglong Tian , Phillip Isola ,