AI RESEARCH
CyCLeGen: Cycle-Consistent Layout Prediction and Image Generation in Vision Foundation Models
arXiv CS.CV
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ArXi:2603.14957v1 Announce Type: new We present CyCLeGen, a unified vision-language foundation model capable of both image understanding and image generation within a single autoregressive framework. Unlike existing vision models that depend on separate modules for perception and synthesis, CyCLeGen adopts a fully integrated architecture that enforces cycle-consistent learning through image->layout->image and layout->image->layout generation loops. This unified formulation