UniCAD: Unified CAD Generation with Continuous Conditional Guidance

Generating editable CAD models with precise geometry from single-view images is crucial for downstream design and manufacturing applications. However, existing methods are either limited to unconditional generation or rely on restrictive sketch-and-extrude pipelines, limiting user control and generative diversity. We propose UniCAD, a unified generative model that bridges 2D images and structured 3D CAD representations. It models topology with a connectivity-guided autoregressive Transformer decoder and geometry with a Transformer-based diffusion model. In addition, UniCAD supports controllable CAD generation from a single image, enabling smooth interpolation and precise control over conditioning strength. Extensive experiments show that our model supports conditional and unconditional generation within a unified framework, delivering high-quality results.