Category-oriented Attributes
Category: Boston Bull
Mouth | Ear | Face | Tongue |
Category: Brambling
Body Size | Head Pose | Belly | Feather |
Category: Volcano
Mountain Size | Ash | Fire | Sky |
Category: Castle
Width | Cloud | Foreground | Water |
Latent-oriented Attributes
Bubble | Great Grey Owl | Bee Eater | Speedboat | Lifeboat | |
Size
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Background
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Style
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Fuse the characteristics of two classes: mix features regarding the class-relevant channels.
Segment synthesized samples: perform clustering on per-pixel features weighted by channel awareness.
Categories with high total channel awareness: high quality and low diversity.
Manhole Cover | Rapeseed | Odometer | Website | Cypripedium parviflorum |
Categories with low total channel awareness: low quality and high diversity.
Chainsaw | Stretcher | Reel | Plastic Bag | Barrow |
@article{he2022interpreting, title = {Interpreting Class Conditional GANs with Channel Awareness}, author = {He, Yingqing and Zhang, Zhiyi and Zhu, Jiapeng and Shen, Yujun and Chen, Qifeng}, journal = {arXiv preprint arXiv:2203.11173}, year = {2022} }
Comment: Proposes a large-scale conditional GAN, i.e., BigGAN, trained on ImageNet.