Advertisement Synthesis Network for Automatic Advertisement Image Synthesis

Figure 3

The pipeline of the proposed ASNet. ASNet requires a background-free target object image and its corresponding prompt text as inputs. We first employ Stable Diffusion model as a Pre-Synthesis to generate a preliminary target object scene (pseudo-advertising image). Then, we feed the pseudo-advertising image and the target product without background into Target Object Encoder for encoding. Finally, we feed the encoded features into the pre-trained diffusion model for the synthesis of the real advertising image.