Gen-AI for Asset Modification
Generative AI has dominated headlines over the past two years. With powerful tools like ChatGPT, Midjourney, and Copilot, marketers have been able to scale and optimize the way they execute their tasks. Generative AI for Asset Modification is an advanced technology that enables DAM users to enhance, edit, or create variations of existing images with unparalleled ease. Leveraging AI-powered algorithms, this capability democratizes tasks such as resizing, color adjustment, background removal, and even the creation of entirely new visuals from scratch based on simple prompts.
Implementation in DAM systems
For DAM users, Generative AI for Asset Modification can be a game-changer for productivity and creativity. It enables quick adaptation or customization of assets - such as key visuals or images - for different channels, markets, or products. By eliminating the need to wait for a designer or agency, users can complete asset modifications instantly, saving valuable time. The reduced dependency on external resources not only speeds up workflows but also lowers costs and boosts profitability.
What is the technology behind it?
Generative AI for Asset Modification takes advantage of deep learning methods that have come a long way in just a few years. At first, tools like Generative Adversarial Networks (GANs) and autoencoders made it possible for AI to learn and reproduce visual styles with surprising realism. Then, Transformer-based models—initially designed for natural language—proved they could handle images, too. By focusing on patterns and context in both text prompts and pictures, Transformers can deliver high-quality edits or even generate brand-new visuals. Techniques like diffusion models, make it easier than ever for anyone—even without a design background—to create professional-looking images in record time.
