[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Chen et al., 2024 - Google Patents

Towards real-world blind face restoration with generative diffusion prior

Chen et al., 2024

View PDF
Document ID
11278987614763276721
Author
Chen X
Tan J
Wang T
Zhang K
Luo W
Cao X
Publication year
Publication venue
IEEE Transactions on Circuits and Systems for Video Technology

External Links

Snippet

Blind face restoration is an important task in computer vision and has gained significant attention due to its wide-range applications. Previous works mainly exploit facial priors to restore face images and have demonstrated high-quality results. However, generating …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00Indexing scheme for image data processing or generation, in general
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Chen et al. The face image super-resolution algorithm based on combined representation learning
Ma et al. Structure-preserving image super-resolution
Yan et al. Fine-grained attention and feature-sharing generative adversarial networks for single image super-resolution
Wang et al. Cycle-snspgan: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch gan
Chen et al. Towards real-world blind face restoration with generative diffusion prior
Li et al. Learning face image super-resolution through facial semantic attribute transformation and self-attentive structure enhancement
Shi et al. Exploiting multi-scale parallel self-attention and local variation via dual-branch transformer-CNN structure for face super-resolution
Wang et al. Improved face super-resolution generative adversarial networks
Lee et al. Exposure-structure blending network for high dynamic range imaging of dynamic scenes
Yang et al. MSE-Net: generative image inpainting with multi-scale encoder
Chen et al. Robust face super-resolution via position relation model based on global face context
Li et al. Srinpaintor: When super-resolution meets transformer for image inpainting
Liu et al. Fast simultaneous image super-resolution and motion deblurring with decoupled cooperative learning
Yu et al. Multiprior learning via neural architecture search for blind face restoration
Xia et al. DiffI2I: Efficient Diffusion Model for Image-to-Image Translation
Song et al. ESRGAN-DP: Enhanced super-resolution generative adversarial network with adaptive dual perceptual loss
Ketsoi et al. SREFBN: Enhanced feature block network for single‐image super‐resolution
Bai et al. Survey of learning based single image super-resolution reconstruction technology
Wang et al. Structure Prior-Aware Dynamic Network for Face Super-Resolution
Xu et al. Super-resolving blurry face images with identity preservation
Xiu et al. Double discriminative face super-resolution network with facial landmark heatmaps
Li et al. A review of advances in image inpainting research
Wei et al. 3D face image inpainting with generative adversarial nets
Barzegar et al. Super-resolution using lightweight detailnet network
Zhang et al. Se-dcgan: a new method of semantic image restoration