Ganimagesimilarity

2021年11月11日 — What's the best way to gauge the similarity of AI-generated images to training images? ... Generative Adversarial Networks or GANs have been used ...

由 C Yu 著作 · 2021 · 被引用 1 次 — Abstract—Current deep generative adversarial networks. (GANs) can synthesize high-quality (HQ) images, so learning representation with GANs is favorable.

由 A Dosovitskiy 著作 · 2016 · 被引用 1237 次 — Our approach looks similar to a conditional GAN. However, in a GAN there is no loss directly comparing the generated image to some ground truth. As Fig. 1 shows ...

Image similarity search with InfoGAN¶. This notebook shows how to implement an InfoGAN based on Gluon. InfoGAN is an extension of GANs, where the generator ...

Results. For each line, the first image is the seed and the rest are most similar images according to l2 distance of the intermediate features. similarity.

Results. For each line, the first image is the seed and the rest are most similar images according to l2 distance of the intermediate features. similarity.

由 Z Qin 著作 · 2022 · 被引用 9 次 — An object-level image-to-image translation model (ObjectVariedGAN) is proposed. In particular, it is capable of learning cross-domain mappings using cycled ...

Similarity Functions. Generative Deep Learning Models such as the Generative Adversarial Networks (GAN) are used for various image manipulation problems such as ...

由 S Saxena 著作 · 2021 · 被引用 11 次 — In this paper, we survey and analyze eight Image-to-Image Generative Adversarial Networks: Pix2Pix, CycleGAN, CoGAN, StarGAN, MUNIT, StarGAN2, ...