Learning Warped Guidance for Blind Face Restoration

This paper studies the problem of blind face restoration from an unconstrained blurry, noisy, low-resolution, or compressed image (i.e., degraded observation). For better recovery of fine facial details, we modify the problem setting by taking both the degraded observation and a high-quality guided image of the same identity as input to our guided face restoration network (GFRNet)... (read more)

PDF Abstract ECCV 2018 PDF ECCV 2018 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Super-Resolution VggFace2 - 8x upscaling GFRNet PSNR 24.10 # 2
Image Super-Resolution WebFace - 8x upscaling GFRNet PSNR 27.21 # 1

Methods used in the Paper


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