most citedDiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 1 cited

DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation

Qilin Wang, Jiangning Zhang, Chengming Xu +7

Facial Appearance Editing (FAE) aims to modify physical attributes, such as pose, expression and lighting, of human facial images while preserving attributes like identity and back…