Liu et al., 2023 - Google Patents
Learning image-adaptive codebooks for class-agnostic image restorationLiu et al., 2023
View PDF- Document ID
- 3035132681837097884
- Author
- Liu K
- Jiang Y
- Choi I
- Gu J
- Publication year
- Publication venue
- Proceedings of the IEEE/CVF International Conference on Computer Vision
External Links
Snippet
Recent work of discrete generative priors, in the form of codebooks, has shown exciting performance for image reconstruction and restoration, since the discrete prior space spanned by the codebooks increases the robustness against diverse image degradations …
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
- G06K9/62—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
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting 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
-
- 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
- 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
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
- G06T9/001—Model-based coding, e.g. wire frame
-
- 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
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- 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
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Luo et al. | Refusion: Enabling large-size realistic image restoration with latent-space diffusion models | |
Xue | End-to-end chinese landscape painting creation using generative adversarial networks | |
Gu et al. | Image processing using multi-code gan prior | |
Pan et al. | Exploiting deep generative prior for versatile image restoration and manipulation | |
Gao et al. | High-fidelity and arbitrary face editing | |
Liu et al. | Photo-realistic image super-resolution via variational autoencoders | |
Yu et al. | Frechet inception distance (fid) for evaluating gans | |
Smirnov et al. | Marionette: Self-supervised sprite learning | |
Singh et al. | Neural style transfer: A critical review | |
Liu et al. | Learning image-adaptive codebooks for class-agnostic image restoration | |
Li et al. | Learning dual memory dictionaries for blind face restoration | |
Joseph et al. | C4synth: Cross-caption cycle-consistent text-to-image synthesis | |
Wei et al. | Shadow inpainting and removal using generative adversarial networks with slice convolutions | |
Quan et al. | Deep learning-based image and video inpainting: A survey | |
Roessle et al. | Ganerf: Leveraging discriminators to optimize neural radiance fields | |
Rojas et al. | A review on image inpainting techniques and datasets | |
Chen et al. | Interactive segment anything nerf with feature imitation | |
Zhu et al. | To see in the dark: N2DGAN for background modeling in nighttime scene | |
Yi et al. | Animating through warping: An efficient method for high-quality facial expression animation | |
Wang et al. | RestoreFormer++: Towards real-world blind face restoration from undegraded key-value pairs | |
Li et al. | Srinpaintor: When super-resolution meets transformer for image inpainting | |
Liu et al. | Transformer based Pluralistic Image Completion with Reduced Information Loss | |
Qiu et al. | Diffbfr: Bootstrapping diffusion model towards blind face restoration | |
Campana et al. | Variable-hyperparameter visual transformer for efficient image inpainting | |
Kratzwald et al. | Improving video generation for multi-functional applications |