Recent Advances in Controllable Image Generation with Deep Learning Models
This paper systematically sorts out two representative controllable generation methods: the explicit structural constraint method based on additional conditions and the implicit semantic guidance method based on visual examples, which realizes precise control of image spatial layout and geometric structure.