3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in face-generation
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Use these libraries to find face-generation models and implementations
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This work proposes a novel multi-domain image-to-image generative adversarial network architecture, whose learned latent space models a continuous bi-directional aging process.
This work proposes a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image and introduces a masking mechanism, the CUstom Structure Preservation module, that distinguishes relevant regions in the input image from those that should be discarded.
An image-to-image translation method that learns to directly encode real facial images into the latent space of a pre-trained unconditional GAN subject to a given aging shift, which learns a more disentangled, non-linear path.
Adding a benchmark result helps the community track progress.