Face Hallucination
12 papers with code • 1 benchmarks • 3 datasets
Face hallucination is the task of generating high-resolution (HR) facial images from low-resolution (LR) inputs.
( Image credit: Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination )
Benchmarks
These leaderboards are used to track progress in Face Hallucination
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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FFHQ
EDFace-Celeb-1M
KID-F
Most implemented papers
VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
yuangan/VidFace
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In this paper, we investigate the task of hallucinating an authentic high-resolution (HR) human face from multiple low-resolution (LR) video snapshots.
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
It is thus unclear how these algorithms perform on public face hallucination datasets.
