Book ChapterDOI
IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild
Ashutosh Mishra,Shyam Nandan Rai,Anand Mishra,C. V. Jawahar,C. V. Jawahar +4 more
- pp 35-47
TLDR
This database contains 8,928 annotated images of cartoon faces of 100 public figures and will be useful in conducting research on spectrum of problems associated with cartoon understanding.Abstract:
In this paper, we introduce the cartoon faces in the wild (IIIT-CFW) database and associated problems. This database contains 8,928 annotated images of cartoon faces of 100 public figures. It will be useful in conducting research on spectrum of problems associated with cartoon understanding. Note that to our knowledge, such realistic and large databases of cartoon faces are not available in the literature.read more
Citations
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Proceedings ArticleDOI
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
TL;DR: Zhang et al. as discussed by the authors propose a two-stage framework named FaceInpainter to implement controllable identity-guided face inpainting (IGFI) under heterogeneous domains.
Posted Content
Unpaired Photo-to-Caricature Translation on Faces in the Wild
TL;DR: Experiments on photo-to-caricature translation of faces in the wild show considerable performance gain of the proposed method over state-of-the-art translation methods as well as its potential real applications.
Journal ArticleDOI
Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
TL;DR: Juyong et al. as discussed by the authors proposed a neural network based method to regress the 3D face shape and orientation from the input 2D caricature image, which works well for various caricatures.
Proceedings ArticleDOI
Creative Flow+ Dataset
TL;DR: The Creative Flow+ Dataset is presented, the first diverse multi-style artistic video dataset richly labeled with per-pixel optical flow, occlusions, correspondences, segmentation labels, normals, and depth, and it is shown that learning-based optical flow methods fail to generalize to this data and struggle to compete with classical approaches.
Posted Content
Photo-to-Caricature Translation on Faces in the Wild.
TL;DR: The authors proposed a parallel convolutional neural network (ParConv) to combine the information from previous layer with the current layer, which can capture global structure with local statistics while translation, and designed a dual pathway model of cGAN with one global discriminator and one patch discriminator.
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