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Found 5 papers, 1 papers with code
Hypernetwork-Based Augmentation
In this paper, we propose an efficient gradient-based search algorithm, called Hypernetwork-Based Augmentation (HBA), which simultaneously learns model parameters and augmentation hyperparameters in a single training.
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Our method is capable of modifying images by changing particular attributes of interest in a continuous manner while preserving the other attributes.
KG-GAN: Knowledge-Guided Generative Adversarial Networks
Can generative adversarial networks (GANs) generate roses of various colors given only roses of red petals as input?
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
The main component of this architecture is a Lucas-Kanade layer that performs the inverse compositional algorithm on convolutional feature maps.
Shape-Preserving Half-Projective Warps for Image Stitching
It provides good alignment accuracy as projective warps while preserving the perspective of individual image as similarity warps.
