<ul><li>The integration of deep generative networks into generating Computer-Aided Design (CAD) models has garnered attention.</li><li>A novel framework called RECAD is introduced for generating raster sketches and 3D extrusions in CAD models.</li><li>RECAD breaks the limitations of traditional methods by representing sketches as raster images, providing enhanced geometric representation capabilities.</li><li>Experimental results indicate that RECAD achieves strong performance in unconditional generation, conditional generation, and output editing.</li></ul>

Revisiting CAD Model Generation by Learning Raster Sketch

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