Caricature
18 papers with code • 0 benchmarks • 1 datasets
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
Benchmarks
These leaderboards are used to track progress in Caricature
WebCaricature Dataset
Latest papers with no code
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Finally, we fine-tuned a pre-trained face landmark detection model on the synthetic dataset to achieve multi-domain face landmark detection.
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
In this paper, we democratise caricature generation, empowering individuals to effortlessly craft personalised caricatures with just a photo and a conceptual sketch.
High-Quality Face Caricature via Style Translation
We perform an incremental facial exaggeration from the real image to the caricature faces using the encoder and generator's latent space.
semantic neural model approach for face recognition from sketch
Face sketch synthesis and reputation have wide range of packages in law enforcement.
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Caricature is an artistic representation that deliberately exaggerates the distinctive features of a human face to convey humor or sarcasm.
cGANs for Cartoon to Real-life Images
The image-to-image translation is a learning task to establish a visual mapping between an input and output image.
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Considering the intuitive artifacts in the existing methods, we propose a contrastive style loss for style rendering to enforce the similarity between the style of rendered photo and the caricature, and simultaneously enhance its discrepancy to the photos.
Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture
The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment.
Cross-modal Multi-task Learning for Graphic Recognition of Caricature Face
Face recognition of realistic visual images has been well studied and made a significant progress in the recent decade.
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration
Given an input face photo, the goal of caricature generation is to produce stylized, exaggerated caricatures that share the same identity as the photo.
