[go: up one dir, main page]

Li et al., 2023 - Google Patents

Survey on deep face restoration: From non-blind to blind and beyond

Li et al., 2023

View PDF
Document ID
16343724370434072053
Author
Li W
Wang M
Zhang K
Li J
Li X
Zhang Y
Gao G
Deng W
Lin C
Publication year
Publication venue
arXiv preprint arXiv:2309.15490

External Links

Snippet

Face restoration (FR) is a specialized field within image restoration that aims to recover low- quality (LQ) face images into high-quality (HQ) face images. Recent advances in deep learning technology have led to significant progress in FR methods. In this paper, we begin …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Jiang et al. Deep learning-based face super-resolution: A survey
Poggi et al. On the synergies between machine learning and binocular stereo for depth estimation from images: A survey
Zhou et al. Semantic-supervised infrared and visible image fusion via a dual-discriminator generative adversarial network
Hu et al. Deep depth completion from extremely sparse data: A survey
Zheng et al. T-net: Deep stacked scale-iteration network for image dehazing
Wang et al. A survey of deep face restoration: Denoise, super-resolution, deblur, artifact removal
Karpov et al. Exploring efficiency of vision transformers for self-supervised monocular depth estimation
Li et al. Survey on deep face restoration: From non-blind to blind and beyond
Din et al. Effective removal of user-selected foreground object from facial images using a novel GAN-based network
CN118212463A (en) Target tracking method based on fractional order hybrid network
Allaert et al. A comparative study on optical flow for facial expression analysis
Tosi et al. A survey on deep stereo matching in the twenties
Yang et al. S3Net: A single stream structure for depth guided image relighting
Liu et al. Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data
Ahsan et al. A comprehensive survey on diffusion models and their applications
Liang et al. Decoupling image deblurring into twofold: A hierarchical model for defocus deblurring
Josi et al. Fusion for visual-infrared person ReID in real-world surveillance using corrupted multimodal data
Qing et al. Unformer: A transformer-based approach for adaptive multi-scale feature aggregation in underwater image enhancement
Zhang et al. Semantic prior guided face inpainting
Jing et al. CAGT: Sim-to-Real Depth Completion with Interactive Embedding Aggregation and Geometry Awareness for Transparent Objects
Cheng et al. A comprehensive survey for real-world industrial defect detection: Challenges, approaches, and prospects
Sun et al. Facial mask attention network for identity-aware face super-resolution
Jian et al. UniFRD: A Unified Method for Facial Image Restoration Based on Diffusion Probabilistic Model
Allaert et al. Optical Flow Techniques for Facial Expression Analysis--a Practical Evaluation Study
Zhang et al. GLE-YOLO: intelligent detection of road linear damage in shadow condition