Browse State-of-the-Art › Caricature
Caricature
20 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Caricature is a pictorial representation or description that deliberately exaggerates a person’s distinctive features or peculiarities to create an easily identifiable visual likeness with a comic effect. This vivid art form contains the concepts of abstraction, simplification and exaggeration.
Source: Alive Caricature from 2D to 3D
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
20 shown of 20 papers with code (37 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
1 Oct 2020 2 repositories listedPrevious caricature generation methods are obsessed with predicting definite image warping from a given photo while ignoring the intrinsic representation and distribution for exaggerations in caricatures.
-
1 Jan 2025 1 repository listedA key challenge in caricature generation is two-fold: the scarcity of high-quality caricature data and the difficulty in enabling precise creative control over the exaggeration process while maintaining identity.
-
4 Mar 2024 1 repository listedParameter inference and uncertainty quantification are important steps when relating mathematical models to real-world observations, and when estimating uncertainty in model predictions.
-
24 Jan 2024 1 repository listedFinally, we fine-tuned a pre-trained face landmark detection model on the synthetic dataset to achieve multi-domain face landmark detection.
-
17 Oct 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)Recent work has aimed to capture nuances of human behavior by using LLMs to simulate responses from particular demographics in settings like social science experiments and public opinion surveys.
-
4 Jul 2023 1 repository listedA fundamental and often overlooked choice in this approach involves relating the solution of a mathematical model with noisy and incomplete measurement data.
-
29 Jul 2022 1 repository listedTo achieve the goal, we propose an MLP-based framework for building a deformable surface model, which takes a latent code and produces a 3D surface.
-
19 Apr 2022 1 repository listedWe build on the successes of few-shot StyleGAN and single-shot semantic segmentation to minimise the amount of training required in utilising two domains.
-
9 Jul 2021 1 repository listedOur framework, dubbed StyleCariGAN, automatically creates a realistic and detailed caricature from an input photo with optional controls on shape exaggeration degree and color stylization type.
-
12 Aug 2020 1 repository listedCaricature is an artistic drawing created to abstract or exaggerate facial features of a person.
-
18 Jul 2020 1 repository listedThe implementation of the proposed method is available at https://github.
-
20 Apr 2020 1 repository listedTo this end, we first build a dataset with various styles of 2D caricatures and their corresponding 3D shapes, and then build a parametric model on vertex based deformation space for 3D caricature face.
-
6 Apr 2020 1 repository listedCaricature, a type of exaggerated artistic portrait, amplifies the distinctive, yet nuanced traits of human faces.
-
15 Mar 2020 1 repository listedThe most challenging issue for our system is that the source domain of face photos (characterized by normal 2D faces) is significantly different from the target domain of 3D caricatures (characterized by 3D exaggerated…
-
8 Nov 2019 1 repository listedRather than the visual images, the face recognition of the caricatures is far from the performance of the visual images.
-
13 May 2019 1 repository listedHowever, current state-of-the-art face parsing methods require large amounts of labeled data on the pixel-level and such process for caricature is tedious and labor-intensive.
-
10 Sep 2018 1 repository listedWe introduce a saliency-based distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a given task.
-
31 Jul 2018 1 repository listedFurther, recognizing the identity in the image by knowledge transfer using a combination of shared and modality specific representations, resulted in an unprecedented performance of 85% rank-1 accuracy for caricatures…
-
19 Mar 2018 1 repository listedCaricature is an art form that expresses subjects in abstract, simple and exaggerated view.
-
29 Nov 2017 1 repository listedWe present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can also be used for other high-level image-to-image…
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections