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Related papers: Alive Caricature from 2D to 3D

200 papers

We present a method and application for animating a human subject from a single photo. E.g., the character can walk out, run, sit, or jump in 3D. The key contributions of this paper are: 1) an application of viewing and animating humans in…

Computer Vision and Pattern Recognition · Computer Science 2018-12-07 Chung-Yi Weng , Brian Curless , Ira Kemelmacher-Shlizerman

We propose a compositional method for constructing a complete 3D head avatar from a single image. Prior one-shot holistic approaches frequently fail to produce realistic hair dynamics during animation, largely due to inadequate decoupling…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Yuan Sun , Xuan Wang , WeiLi Zhang , Wenxuan Zhang , Yu Guo , Fei Wang

In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensive expertise and efforts. To narrow this disparity, we…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Longwen Zhang , Ziyu Wang , Qixuan Zhang , Qiwei Qiu , Anqi Pang , Haoran Jiang , Wei Yang , Lan Xu , Jingyi Yu

Learning from different modalities is a challenging task. In this paper, we look at the challenging problem of cross modal face verification and recognition between caricature and visual image modalities. Caricature have exaggerations of…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Jatin Garg , Skand Vishwanath Peri , Himanshu Tolani , Narayanan C Krishnan

Cartoonization is a task that renders natural photos into cartoon styles. Previous deep cartoonization methods only have focused on end-to-end translation, which may hinder editability. Instead, we propose a novel solution with editing…

Computer Vision and Pattern Recognition · Computer Science 2023-03-09 Namhyuk Ahn , Patrick Kwon , Jihye Back , Kibeom Hong , Seungkwon Kim

Studying caricature recognition is fundamentally important to understanding of face perception. However, little research has been conducted in the computer vision community, largely due to the shortage of suitable datasets. In this paper, a…

Computer Vision and Pattern Recognition · Computer Science 2018-08-10 Jing Huo , Wenbin Li , Yinghuan Shi , Yang Gao , Hujun Yin

In this paper, we present a novel strategy to design disentangled 3D face shape representation. Specifically, a given 3D face shape is decomposed into identity part and expression part, which are both encoded and decoded in a nonlinear way.…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Zi-Hang Jiang , Qianyi Wu , Keyu Chen , Juyong Zhang

We investigate the problem of estimating the 3D shape of an object defined by a set of 3D landmarks, given their 2D correspondences in a single image. A successful approach to alleviating the reconstruction ambiguity is the 3D deformable…

Computer Vision and Pattern Recognition · Computer Science 2017-01-12 Xiaowei Zhou , Menglong Zhu , Spyridon Leonardos , Kostas Daniilidis

Producing expressive facial animations from static images is a challenging task. Prior methods relying on explicit geometric priors (e.g., facial landmarks or 3DMM) often suffer from artifacts in cross reenactment and struggle to capture…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Qiang Wang , Mengchao Wang , Fan Jiang , Yaqi Fan , Yonggang Qi , Mu Xu

Previous animatable 3D-aware GANs for human generation have primarily focused on either the human head or full body. However, head-only videos are relatively uncommon in real life, and full body generation typically does not deal with…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Yue Wu , Sicheng Xu , Jianfeng Xiang , Fangyun Wei , Qifeng Chen , Jiaolong Yang , Xin Tong

3D facial animation is often produced by manipulating facial deformation models (or rigs), that are traditionally parameterized by expression controls. A key component that is usually overlooked is expression 'style', as in, how a…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Lingchen Yang , Gaspard Zoss , Prashanth Chandran , Paulo Gotardo , Markus Gross , Barbara Solenthaler , Eftychios Sifakis , Derek Bradley

The ability to create realistic, animatable and relightable head avatars from casual video sequences would open up wide ranging applications in communication and entertainment. Current methods either build on explicit 3D morphable meshes…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Yufeng Zheng , Wang Yifan , Gordon Wetzstein , Michael J. Black , Otmar Hilliges

We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of a subject. The foundation of our approach is anchored in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Francesca Babiloni , Alexandros Lattas , Jiankang Deng , Stefanos Zafeiriou

We propose a learning based method for generating new animations of a cartoon character given a few example images. Our method is designed to learn from a traditionally animated sequence, where each frame is drawn by an artist, and thus the…

Computer Vision and Pattern Recognition · Computer Science 2020-10-14 Omid Poursaeed , Vladimir G. Kim , Eli Shechtman , Jun Saito , Serge Belongie

Large-scale pre-trained image-to-3D generative models have exhibited remarkable capabilities in diverse shape generations. However, most of them struggle to synthesize plausible 3D assets when the reference image is flat-colored like hand…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Xiaoyan Cong , Jiayi Shen , Zekun Li , Rao Fu , Tao Lu , Srinath Sridhar

Accurate 3D shape abstraction from a single 2D image is a long-standing problem in computer vision and graphics. By leveraging a set of primitives to represent the target shape, recent methods have achieved promising results. However, these…

Computer Vision and Pattern Recognition · Computer Science 2023-10-05 Di Liu , Xiang Yu , Meng Ye , Qilong Zhangli , Zhuowei Li , Zhixing Zhang , Dimitris N. Metaxas

2.5D cartoon models are methods to simulate three-dimensional (3D)-like movements, such as out-of-plane rotation, from two-dimensional (2D) shapes in different views. However, cartoon objects and characters have several distorted parts…

Graphics · Computer Science 2021-03-30 Tsukasa Fukusato , Akinobu Maejima

We present a unified framework for reconstructing animatable 3D human avatars from a single portrait across head, half-body, and full-body inputs. Our method tackles three bottlenecks: pose- and framing-sensitive feature representations,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Jiawei Zhang , Lei Chu , Jiahao Li , Zhenyu Zang , Chong Li , Xiao Li , Xun Cao , Hao Zhu , Yan Lu

Cartoons are an important part of our entertainment culture. Though drawing a cartoon is not for everyone, creating it using an arrangement of basic geometric primitives that approximates that character is a fairly frequent technique in…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Simanta Deb Turja , Mohammad Imrul Jubair , Md. Shafiur Rahman , Md. Hasib Al Zadid , Mohtasim Hossain Shovon , Md. Faraz Kabir Khan

Rather than the visual images, the face recognition of the caricatures is far from the performance of the visual images. The challenge is the extreme non-rigid distortions of the caricatures introduced by exaggerating the facial features to…

Computer Vision and Pattern Recognition · Computer Science 2019-11-11 Zuheng Ming , Jean-Christophe Burie , Muhammad Muzzamil Luqman