Tag: generative adversarial networks

Researchers have unveiled a generative adversarial network that rebuilds faces obscured by up to 70 percent occlusion while preserving the ...

A hybrid AI model that reasons about park spaces as interconnected graphs before generating images produces urban green space layouts ...

A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three neural architectures to ...

Researchers combined YOLOv8s and Pix2Pix with ant colony and particle swarm optimization to stabilize wrinkle detection and realistic cosmetic skin ...

Researchers at KAUST have developed SALS-BioC, an open-source AI simulator that predicts bacterial concentrations in wastewater treatment plants from routine ...

A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...

The first comprehensive survey of document shadow removal catalogs nine datasets and 41 studies, mapping the field's evolution from physics-based ...

Researchers in Vietnam show that multimodal intrusion detection systems hardened with adversarial training can resist transferable adversarial examples generated by ...

Researchers have developed a generative adversarial network framework called StegoAdv-GAN that hides extractable secret messages inside images while simultaneously generating ...

A controlled comparison shows attention-enhanced DenseNet121 reaching 97.4 percent accuracy for deepfake detection while a lighter MobileNetV2 variant offers a ...