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Controllable semi-supervised generation: StyleGAN + Disentanglement learning
Slides:
http://shorturl.at/rvGL6
Paper: https://buff.ly/39JS6U0
@wn8_nie @animesh_garg @shoubhikdn
@NVIDIAAI
Require <2% labeled data for high-resolution generationhttps://twitter.com/animesh_garg/status/1237756934662623232 …
Semi-supervised StyleGAN: Disentanglement is through mutual information loss. Propose new metrics for measuring disentanglement in generator. Take-away: small amount of supervision is enough for disentanglement and high-res generation @NVIDIAAIpic.twitter.com/FDh26WbiQQ
Semi-supervised StyleGAN image-to-image: for semantic fine-grained image editing with strong generalization to unseen images. @NVIDIAAI Featuring #DeepLearning leaders @drfeifei @geoffreyhinton @goodfellow_ian Jitendra Malik Antonio Torralba Yoshua Bengio (not in training data)pic.twitter.com/tkYRQ8onOx
We also create synthetic high-res datasets for benchmarking disentanglement learning using Falcor renderer.pic.twitter.com/5YHKoYAqrW
We also used @NVIDIAAI #Isaac Simulation environment to create synthetic high-res datasets for benchmarking disentanglement learning in semi-supervised settingpic.twitter.com/QGcS68h4ES
Slides for semi-supervised StyleGAN http://shorturl.at/crDMO @wn8_nie @animesh_garg @shoubhikdn @killerooo @NVIDIAAI (link I posted previously doesn't work)
Project details on semi-supervised StyleGAN athttps://sites.google.com/nvidia.com/semi-stylegan …
Glad to have been part of this work!
Sorry @killerooo Didn't locate your Twitter handle. Indeed, was great to collaborate with you at @NVIDIAAI
It looks like the URL to the slides is broken
Sorry, not sure why. This should workhttp://shorturl.at/crDMO
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