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We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video. For the large differences between pareidolia face reenactment…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Linsen Song , Wayne Wu , Chaoyou Fu , Chen Qian , Chen Change Loy , Ran He

We present a novel framework for animating humans in 3D scenes using 3D Gaussian Splatting (3DGS), a neural scene representation that has recently achieved state-of-the-art photorealistic results for novel-view synthesis but remains…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Aymen Mir , Jian Wang , Riza Alp Guler , Chuan Guo , Gerard Pons-Moll , Bing Zhou

Generative AI is reshaping art, gaming, and most notably animation. Recent breakthroughs in foundation and diffusion models have reduced the time and cost of producing animated content. Characters are central animation components, involving…

There is a growing demand for the accessible creation of high-quality 3D avatars that are animatable and customizable. Although 3D morphable models provide intuitive control for editing and animation, and robustness for single-view face…

Computer Vision and Pattern Recognition · Computer Science 2023-05-05 Connor Z. Lin , Koki Nagano , Jan Kautz , Eric R. Chan , Umar Iqbal , Leonidas Guibas , Gordon Wetzstein , Sameh Khamis

The human face is central to communication. For immersive applications, the digital presence of a person should mirror the physical reality, capturing the users idiosyncrasies and detailed facial expressions. However, current 3D head avatar…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Jalees Nehvi , Timo Bolkart , Thabo Beeler , Justus Thies

To be suitable for film-quality animation, rigs for character deformation must fulfill a broad set of requirements. They must be able to create highly stylized deformation, allow a wide variety of controls to permit artistic freedom, and…

Graphics · Computer Science 2020-08-19 Steven L. Song , Weiqi Shi , Michael Reed

Monocular 3D animal reconstruction is challenging due to complex articulation, self-occlusion, and fine-scale details such as fur. Existing methods often produce distorted geometry and inconsistent textures due to the lack of articulated 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Shufan Sun , Chenchen Wang , Zongfu Yu

Modern interactive applications increasingly demand dynamic 3D content, yet the transformation of static 3D models into animated assets constitutes a significant bottleneck in content creation pipelines. While recent advances in generative…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Chaoyue Song , Xiu Li , Fan Yang , Zhongcong Xu , Jiacheng Wei , Fayao Liu , Jiashi Feng , Guosheng Lin , Jianfeng Zhang

We present StdGEN, an innovative pipeline for generating semantically decomposed high-quality 3D characters from single images, enabling broad applications in virtual reality, gaming, and filmmaking, etc. Unlike previous methods which…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Yuze He , Yanning Zhou , Wang Zhao , Zhongkai Wu , Kaiwen Xiao , Wei Yang , Yong-Jin Liu , Xiao Han

3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetric representations) have been proposed. However,the 3D shape…

Graphics · Computer Science 2020-03-10 Aihua Mao , Canglan Dai , Lin Gao , Ying He , Yong-jin Liu

Single image 3D reconstruction is an important but challenging task that requires extensive knowledge of our natural world. Many existing methods solve this problem by optimizing a neural radiance field under the guidance of 2D diffusion…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Minghua Liu , Chao Xu , Haian Jin , Linghao Chen , Mukund Varma T , Zexiang Xu , Hao Su

Reconstructing 3D braided hairstyles from single-view images remains a challenging task due to the intricate interwoven structure and complex topologies of braids. Existing strand-based hair reconstruction methods typically focus on loose…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Jing Gao

Creating the photo-realistic version of people sketched portraits is useful to various entertainment purposes. Existing studies only generate portraits in the 2D plane with fixed views, making the results less vivid. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-10-03 Yasheng Sun , Qianyi Wu , Hang Zhou , Kaisiyuan Wang , Tianshu Hu , Chen-Chieh Liao , Shio Miyafuji , Ziwei Liu , Hideki Koike

Recent advancements in 3D foundation models have enabled the generation of high-fidelity assets, yet precise 3D manipulation remains a significant challenge. Existing 3D editing frameworks often face a difficult trade-off between visual…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Inbar Gat , Dana Cohen-Bar , Guy Levy , Elad Richardson , Daniel Cohen-Or

Three-dimensional shape reconstruction of 2D landmark points on a single image is a hallmark of human vision, but is a task that has been proven difficult for computer vision algorithms. We define a feed-forward deep neural network…

Computer Vision and Pattern Recognition · Computer Science 2016-09-29 Ruiqi Zhao , Yan Wang , Aleix Martinez

In this paper, we present WonderHuman to reconstruct dynamic human avatars from a monocular video for high-fidelity novel view synthesis. Previous dynamic human avatar reconstruction methods typically require the input video to have full…

Computer Vision and Pattern Recognition · Computer Science 2026-01-08 Zilong Wang , Zhiyang Dou , Yuan Liu , Cheng Lin , Xiao Dong , Yunhui Guo , Chenxu Zhang , Xin Li , Wenping Wang , Xiaohu Guo

A 3D caricature is an exaggerated 3D depiction of a human face. The goal of this paper is to model the variations of 3D caricatures in a compact parameter space so that we can provide a useful data-driven toolkit for handling 3D caricature…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Yucheol Jung , Wonjong Jang , Soongjin Kim , Jiaolong Yang , Xin Tong , Seungyong Lee

Dynamic scene reconstruction from casual videos has seen recent remarkable progress. Numerous approaches have attempted to overcome the ill-posedness of the task by distilling priors from 2D foundational models and by imposing hand-crafted…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Narek Tumanyan , Samuel Rota Bulò , Denis Rozumny , Lorenzo Porzi , Adam Harley , Tali Dekel , Peter Kontschieder , Jonathon Luiten

3D face reconstruction from a single image is a challenging problem, especially under partial occlusions and extreme poses. This is because the uncertainty of the estimated 2D landmarks will affect the quality of face reconstruction. In…

Computer Vision and Pattern Recognition · Computer Science 2020-09-15 Kun Li , Jing Yang , Nianhong Jiao , Jinsong Zhang , Yu-Kun Lai

We present ARCH++, an image-based method to reconstruct 3D avatars with arbitrary clothing styles. Our reconstructed avatars are animation-ready and highly realistic, in both the visible regions from input views and the unseen regions.…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Tong He , Yuanlu Xu , Shunsuke Saito , Stefano Soatto , Tony Tung