U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation.
Junho KimMinjae KimHyeonwoo KangKwanghee LeePublished in: ICLR (2020)
Keyphrases
- image data
- image representation
- image features
- single image
- input image
- image retrieval
- image classification
- image content
- template matching
- low level
- multiscale
- image analysis
- lighting conditions
- pixel values
- image collections
- image pixels
- vector field
- image segmentation
- segmentation method
- edge detection
- hough transform
- unsupervised learning
- image quality
- image structure
- similarity measure
- computer vision