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Better Controllability without Sacrificing Image Quality< Interpolate start reference image. +

+

+ Tab (1,2): We achieves significant controllability improvements without sacrificing image quality.
+ Fig: Training segmentation model from scratch with our synthesis images achieves better results. +

+

@@ -269,6 +275,17 @@

Segmentation Mask

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BibTeX

+
@article{li2024controlnet,
+    author  = {Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen},
+    title   = {ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback},
+    journal = {arXiv preprint arXiv:2404.07987},
+    year    = {2024},
+}    
+
+