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Face Hallucination Using Cascaded Super-Resolution and Identity Priors
- Source :
- IEEE Transactions on Image Processing. 29:2150-2165
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In this paper we address the problem of hallucinating high-resolution facial images from low-resolution inputs at high magnification factors. We approach this task with convolutional neural networks (CNNs) and propose a novel (deep) face hallucination model that incorporates identity priors into the learning procedure. The model consists of two main parts: i) a cascaded super-resolution network that upscales the low-resolution facial images, and ii) an ensemble of face recognition models that act as identity priors for the super-resolution network during training. Different from most competing super-resolution techniques that rely on a single model for upscaling (even with large magnification factors), our network uses a cascade of multiple SR models that progressively upscale the low-resolution images using steps of $2\times $ . This characteristic allows us to apply supervision signals (target appearances) at different resolutions and incorporate identity constraints at multiple-scales. The proposed C-SRIP model (Cascaded Super Resolution with Identity Priors) is able to upscale (tiny) low-resolution images captured in unconstrained conditions and produce visually convincing results for diverse low-resolution inputs. We rigorously evaluate the proposed model on the Labeled Faces in the Wild (LFW), Helen and CelebA datasets and report superior performance compared to the existing state-of-the-art.
- Subjects :
- Face hallucination
Databases, Factual
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
02 engineering and technology
Facial recognition system
Convolutional neural network
Deep Learning
Image Processing, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
Humans
Artificial neural network
business.industry
Deep learning
Pattern recognition
Computer Graphics and Computer-Aided Design
Hallucinating
Face
Face (geometry)
Identity (object-oriented programming)
020201 artificial intelligence & image processing
Neural Networks, Computer
Artificial intelligence
business
Algorithms
Software
Subjects
Details
- ISSN :
- 19410042 and 10577149
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Image Processing
- Accession number :
- edsair.doi.dedup.....6cb2ae18574af1ea6b83b8dd2053a599