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Related papers: Texturing and Deforming Meshes with Casual Images

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In this paper, we propose the first sketching system for interactively personalized and photorealistic face caricaturing. Input an image of a human face, the users can create caricature photos by manipulating its facial feature curves. Our…

Computer Vision and Pattern Recognition · Computer Science 2018-07-25 Xiaoguang Han , Kangcheng Hou , Dong Du , Yuda Qiu , Yizhou Yu , Kun Zhou , Shuguang Cui

We present an inference-time diffusion sampling method to perform multi-view consistent image editing using pre-trained 2D image editing models. These models can independently produce high-quality edits for each image in a set of multi-view…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Hadi Alzayer , Yunzhi Zhang , Chen Geng , Jia-Bin Huang , Jiajun Wu

Reconstructing the surfaces of deformable objects from correspondences between a 3D template and a 2D image is well studied under Shape-from-Template (SfT) methods; however, existing approaches break down when topological changes accompany…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Kevin Manogue , Tomasz M Schang , Dilara Kuş , Jonas Müller , Stefan Zachow , Agniva Sengupta

Evolution of 3D graphics and graphical worlds has brought issues like content optimization, real-time processing, rendering, and shared storage limitation under consideration. Generally, different simplification approaches are used to make…

Graphics · Computer Science 2021-01-08 Sadia Tariq , Anis Ur Rahman , Tahir Azim , Rehman Gull Khan

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

While recent generative models for 2D images achieve impressive visual results, they clearly lack the ability to perform 3D reasoning. This heavily restricts the degree of control over generated objects as well as the possible applications…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Dario Pavllo , Graham Spinks , Thomas Hofmann , Marie-Francine Moens , Aurelien Lucchi

Temporal volume images with 3D+t (4D) information are often used in medical imaging to statistically analyze temporal dynamics or capture disease progression. Although deep-learning-based generative models for natural images have been…

Image and Video Processing · Electrical Eng. & Systems 2022-06-28 Boah Kim , Jong Chul Ye

This work proposes a novel method based on a pseudo-parabolic diffusion process to be employed for texture recognition. The proposed operator is applied over a range of time scales giving rise to a family of images transformed by nonlinear…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Jardel Vieira , Eduardo Abreu , Joao B. Florindo

Morphing is the process of changing one figure into another. Some numerical methods of 3D surface morphing by deformable modeling and conformal mapping are shown in this study. It is well known that there exists a unique Riemann conformal…

Graphics · Computer Science 2015-04-02 Mei-Heng Yueh , Xianfeng David Gu , Wen-Wei Lin , Chin-Tien Wu , Shing-Tung Yau

Reshaping accurate and realistic 3D human bodies from anthropometric parameters (e.g., height, chest size, etc.) poses a fundamental challenge for person identification, online shopping and virtual reality. Existing approaches for creating…

Computer Vision and Pattern Recognition · Computer Science 2021-04-06 Yanhong Zeng , Jianlong Fu , Hongyang Chao

Learning deformable 3D objects from 2D images is often an ill-posed problem. Existing methods rely on explicit supervision to establish multi-view correspondences, such as template shape models and keypoint annotations, which restricts…

Computer Vision and Pattern Recognition · Computer Science 2022-06-30 Shangzhe Wu , Tomas Jakab , Christian Rupprecht , Andrea Vedaldi

A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2018-09-24 Meysam Madadi , Egils Avots , Sergio Escalera , Jordi Gonzalez , Xavier Baro , Gholamreza Anbarjafari

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

Realistic and diverse 3D shape generation is helpful for a wide variety of applications such as virtual reality, gaming, and animation. Modern generative models, such as GANs and diffusion models, learn from large-scale datasets and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-22 Jingyuan Zhu , Huimin Ma , Jiansheng Chen , Jian Yuan

This paper introduces a model for producing stylized line drawings from 3D shapes. The model takes a 3D shape and a viewpoint as input, and outputs a drawing with textured strokes, with variations in stroke thickness, deformation, and color…

Computer Vision and Pattern Recognition · Computer Science 2021-10-11 Difan Liu , Matthew Fisher , Aaron Hertzmann , Evangelos Kalogerakis

In this paper, a deformable object is considered for cameras deployment with the aim of visual coverage. The object contour is discretized into sampled points as meshes, and the deformation is represented as continuous trajectories for the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-17 Chang Li , Xi Chen , Li Chai

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods for image synthesis…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Martin Büßemeyer , Max Reimann , Benito Buchheim , Amir Semmo , Jürgen Döllner , Matthias Trapp

The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches focus on tracking skeletal parameters of a fixed shape…

Computer Vision and Pattern Recognition · Computer Science 2017-11-23 Aaron Walsman , Weilin Wan , Tanner Schmidt , Dieter Fox

Our goal in this paper is to investigate properties of 3D shape that can be determined from a single image. We define 3D shape attributes -- generic properties of the shape that capture curvature, contact and occupied space. Our first…

Computer Vision and Pattern Recognition · Computer Science 2017-12-05 David F. Fouhey , Abhinav Gupta , Andrew Zisserman

Existing research has made impressive strides in reconstructing human facial shapes and textures from images with well-illuminated faces and minimal external occlusions. Nevertheless, it remains challenging to recover accurate facial…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Tianxin Huang , Zhenyu Zhang , Ying Tai , Gim Hee Lee