A progressive face super-resolution network with a landmark-heatmap-weighted attention loss produces 8x upscaled faces that human raters judged more realistic than prior methods.
How far are we from solving the 2d & 3d face align- ment problem? (and a dataset of 230,000 3d facial landmarks)
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Progressive Face Super-Resolution via Attention to Facial Landmark
A progressive face super-resolution network with a landmark-heatmap-weighted attention loss produces 8x upscaled faces that human raters judged more realistic than prior methods.