Generative Adversarial Networks and Image Synthesis

Generative Adversarial Networks and Image Synthesis is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 19k research works in it since 1951. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of Generative Adversarial Networks (GANs) in image processing, including image synthesis, style transfer, representation learning, and unsupervised learning. The papers cover various techniques such as image inpainting, texture synthesis, and conditional generative models using deep learning and neural networks.

• Generative Adversarial Networks
• Image Synthesis
• Deep Learning
• Neural Networks
• Image Inpainting
• Style Transfer
• Representation Learning
• Unsupervised Learning
• Conditional Generative Models
• Texture Synthesis