A5064207646- Image Processing and 3D Reconstruction
- Generative Adversarial Networks and Image Synthesis
- Computational and Text Analysis Methods
- Digital Media Forensic Detection
- Neural Networks and Applications
Chung-Ang University
2022-2024
Image generation is an important area of artificial intelligence that involves creating new images from existing datasets. It learning the distribution target randomly generated vectors. Like other deep models, image model requires a vast refined data set to produce high-quality results. When there little data, problem diversity and quality are compromised. In this paper, we propose generative applies PCA generator least square error adversarial network that, in turn, generates even with...
In the field of Artificial Intelligence, a large and densely annotated dataset is required for training making it time resource-expensive task. this paper, we propose an image generation network model that keeps examples at minimal level. The proposed gives additional feature maps to input value (latent space) DCGAN model, which adversarial using convolutional neural network. To solve problem cannot generate clear images in case lack data, one map was added latent space. extracted from 2,000...