Ensembling Off-the-shelf Models for GAN Training

Nupur Kumari	Richard Zhang	Eli Shechtman	Jun-Yan Zhu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

The advent of large-scale training has produced a cornucopia of powerful visual recognition models. However, generative models, such as GANs, have traditionally been trained from scratch in an unsupervised manner. Can the collective

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Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu (2022). Ensembling Off-the-shelf Models for GAN Training. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).