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
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).
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