7 citations · 17 across the 3 of their papers we have counts for
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cs.CV2024★ 7 cited
FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing
Wanglong Lu, Jikai Wang, Xiaogang Jin +2
Existing facial editing methods have achieved remarkable results, yet they often fall short in supporting multimodal conditional local facial editing. One of the significant eviden…
cs.CV2023★ 3 cited
GRIG: Few-Shot Generative Residual Image Inpainting
Wanglong Lu, Xianta Jiang, Xiaogang Jin +5
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents. Recent methods have shown significant improvement in dealing…
cs.CV2022★ 7 cited
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
Wanglong Lu, Hanli Zhao, Xianta Jiang +5
We present EXE-GAN, a novel exemplar-guided facial inpainting framework using generative adversarial networks. Our approach can not only preserve the quality of the input facial im…