AI RESEARCH

Imagine Before You Draw: Visual Prompt Engineering for Image Generation

arXiv CS.CV

ArXi:2606.04457v1 Announce Type: new Incorporating visual semantic representations as an intermediate step before image generation can reduce the modeling difficulty between text and images, thereby improving generation quality. Recent works such as X-Omni and BLIP3o-Next have explored this direction, but they typically use a two-stage external pipeline: a separate autoregressive model first generates semantic tokens, which are then fed as conditioning to an independent diffusion decoder. Since the decoder cannot jointly access the original input and the semantic plan, this design.