Text Driven Generation

Text-driven generation focuses on creating various outputs, such as images, 3D models, and even text itself, based solely on textual descriptions. Current research heavily utilizes diffusion models and large vision-language models like CLIP, often incorporating multi-modal guidance (e.g., images, 3D shapes) to enhance control and realism in the generated content. This field is significant for its potential to automate complex creative processes, enabling zero-shot generation of diverse outputs and facilitating new applications in areas like digital art, animation, and material science.