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 cross-image feature

Cross-Image Context for Single Image Inpainting Tingliang Feng, Wei Feng, Weiqi Li, Di Lin College of Intelligence and Computing, Tianjin University

Neural Information Processing Systems

Visual context is of crucial importance for image inpainting.

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  Genre: Research Report (1.00)
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09b6e009612875dd0a7291d5f4fd8b49-Supplemental-Conference.pdf

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Cross-Image Context for Single Image Inpainting - Supplementary Material - Tingliang Feng, Wei Feng, Weiqi Li, Di Lin College of Intelligence and Computing, Tianjin University

Neural Information Processing Systems

We use the PyTorch toolkit to implement our inpainting network with CICM. The network is optimized by the Adam solver for 400,000 iterations. The initial learning rate is 0.0001, which is linearly decayed during the network training. We randomly crop and flip the training images to augment the data. In our implementation, we use a warm-up strategy to pre-train the backbone network for 50,000 iterations.

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  Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.48)

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Cross-Image Context for Single Image Inpainting Tingliang Feng, Wei Feng, Weiqi Li, Di Lin College of Intelligence and Computing, Tianjin University

Neural Information Processing Systems

Visual context is of crucial importance for image inpainting.

  Country:
  Genre: Research Report (1.00)
  Technology:

Add feedback