U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation.
Junho KimMinjae KimHyeonwoo KangKwanghee LeePublished in: CoRR (2019)
Keyphrases
- input image
- image features
- image content
- image data
- image collections
- image analysis
- image pixels
- edge detection
- image segmentation
- similarity measure
- image retrieval
- multiscale
- template matching
- image representation
- single image
- image structure
- image classification
- high resolution
- social networks
- region of interest
- segmentation method
- low level
- image matching
- unsupervised learning
- multiresolution
- wavelet transform
- grey level