Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 245(2023)
Face image repair network based on face structure guidance
Fig. 5. Model repair test results in this paper.(a)Original image;(b)Sketch of real facial structure;(c)Occlusion of the face image;(d)Occlusion sketches of facial structures;(e)Generated structural sketch;(f)Repaired face image.
Fig. 6. Qualitative comparison of experimental results of random mask repair.(a)Original image;(b)Occluded image;(c)EC algorithm;(d)LaFIn algorithm;(e)CTSDG algorithm;(f)Our algorithm.
Fig. 7. Qualitative comparison of experimental results of center mask repair.(a)Original image;(b)Occluded image;(c)EC algorithm;(d)LaFIn algorithm;(e)CTSDG algorithm;(f)Our algorithm.
Fig. 8. Qualitative experimental repair details .(a)Original image;(b)EC algorithm;(c)LaFIn algorithm;(d)CTSDG algorithm;(e)Our algorithm.
Fig. 9. Qualitative analysis of ablation repair experiment.(a)Original image;(b)Occluded image;(c)Benchmark algorithm;(d)Sketch structure guidance;(e)Sketch structure guidance+attention mechanism.
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Hao-de SHI, Ming-ju CHEN, Jin HOU, Lan LI. Face image repair network based on face structure guidance[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 245
Category: Research Articles
Received: May. 28, 2022
Accepted: --
Published Online: Feb. 20, 2023
The Author Email: Ming-ju CHEN (12347259@qq.com)