SSG-Net: A novel Text-to-Painting AI artwork generator enables illustrating of the step-by-step painting process

Endowing AI with the ability of fine-art creation has been a long-standing goal for research community of multimedia. Indeed, recent image generation models have made to the point of shifting human art creation by generating visual image from text description. Although these AI generators are capable of producing end-to-end artworks with remarkable style and quality, they have not been able to imitate human in artistic creation by retrieving its painting process. Therefore, we focused on this challenging task of maximumly patterning human’s art creation by making text-to-painting image generation with fine-grained stroke by stroke predictions. Our proposal (SSG-Net) uses textual description as the input and further produces a quality artwork which not only matches the described scene but also restores the painting process with detailed sequential brushstroke predictions.