This GitHub repository contains the codebase for the semantic image and text alignment Project. The project focuses on leveraging advanced machine learning techniques to automate the end-to-end process of advertising production. Specifically, it aims to convert textual advertisement concepts and asset descriptions into visually compelling storyboards.
Utilizing various methods to geneate visually reach images from textual descriptions, ensuring a diverse and engaging visuual output.
Implementation of strategies to transform text into visually appealing imagse, with a focus on size and other critical visual attributes.
An algorithm for dynamically positioning and sizing of assets within a frame, providing flexibility and adaptability acrsoo diverse content types.
An algorithm for arranging frames in a cohesive sequence, effectively conveying the progression of the ad campaign.
This project is licensed under the MIT License - see the LICENSE file for details.