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Scientific Research Publishing14d
Wang, L. and Zhang, Y. (2019) Text to Image Generation via Deep Neural Networks for Fashion. Proceedings of the ACM International Conference on Multimedia (MM), 2134-2142.
Key applications include AI-driven parametric image generation, digital twins of human figures and textiles, and enhanced material simulation. The study highlights the role of datasets like ...
Scientific Research Publishing14d
Li, Z. and Chao, Y. (2021) Cloth-Aware Generative Adversarial Networks for Clothing Image Generation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ...
Key applications include AI-driven parametric image generation, digital twins of human figures and textiles, and enhanced material simulation. The study highlights the role of datasets like ...
IEEE15d
Integrating Generative Adversarial Networks and Convolutional Neural Networks for Enhanced Traffic Accidents Detection and Analysis
image enhancement and image normalisation pixel range adjustments. Three models are used: CNN, Fine-tuned Convolutional Neural Network (FTCNN) and Vision Transformer (VIT) worked best for detecting ...
IEEE27d
A Multiple Attentions Based Multi-level Hybrid-guided Deep Fuzzy Convolutional Neural Network for Image Recognition
Abstract: In recent years, as a vital branch of artificial intelligence, image recognition (IR) has garnered significant attention across various industries. Although deep convolutional neural ...