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Create a GaN model with a sketch, which can be played by novices. The new research of Zhu Junyan's team was selected into iccv 2021

2021-08-08 15:44:31 Shared by: Chang Zheng

How ordinary users create their own generation model ? such as , Users who create works of art with cats may not want to use ordinary cat models , And hope is a custom model for a special cat , In a certain position : In the neighborhood 、 Lean , Or look left . Generally speaking , To get such a custom model , Users have to manage thousands of cat images tilted to the left , Then it takes domain experts several months to train the model and adjust the parameters , To generate an ideal model .
In this work , Zhu Junyan and others are from CMU and MIT The researchers proposed GAN Sketching, This method rewrites... Through one or more sketches GAN, Make it easier for novice users to train GAN. In particular , This method can also change the original sketch through the user sketch GAN Model weight , And through cross domain (cross-domain ) Resist loss and encourage the model output to match the user's sketch .
Besides , The study also explores different regularization methods , To maintain the diversity of the original model and image quality .
  • Address of thesis :https://arxiv.org/pdf/2108.02774.pdf

  • Project address :https://peterwang512.github.io/GANSketching

Experiments show that ,GAN Sketching Can shape GAN To match the shape and pose specified in the sketch , While maintaining realism and diversity . The researchers finally demonstrated the generated GAN Some applications of , Including potential applications such as spatial interpolation and image editing .
Its effect is like this : Draw a cat sketch , The model will match the cat picture that looks like the sketch :
It looks far away 、 Lying cat :
Match the cat you look at :

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