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Hierarchical Vectorization for Portrait Images
We evaluate our method on the FFHQR dataset and show that our method is effective for common portrait editing tasks, such as retouching, light editing, color transfer and expression editing.
Flexible Portrait Image Editing with Fine-Grained Control
We develop a new method for portrait image editing, which supports fine-grained editing of geometries, colors, lights and shadows using a single neural network model.
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