Imagine Before You Draw: Visual Prompt Engineering for Image Generation
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. When the decoder is conditioned only on the compressed semantic plan, it cannot directly access the original input, which introduces an information bottleneck that limits detail preservation in downstream tasks such as editing. Internal arc...
| Authors | Liyu Jia, Fengda Zhang, Jiachun Pan et al. |
|---|---|
| Primary category | cs.CV |
| Published | 3 June 2026 |
| Last updated at source | 14 October 2026 |
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