English
Related papers

Related papers: SketchBodyNet: A Sketch-Driven Multi-faceted Decod…

200 papers

We propose a method for reconstructing 3D shapes from 2D sketches in the form of line drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a dense point cloud representing a 3D reconstruction of the input…

Computer Vision and Pattern Recognition · Computer Science 2017-10-02 Zhaoliang Lun , Matheus Gadelha , Evangelos Kalogerakis , Subhransu Maji , Rui Wang

Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images from sketches is still a challenging problem. It is, first…

Computer Vision and Pattern Recognition · Computer Science 2022-05-23 Xian Wu , Chen Wang , Hongbo Fu , Ariel Shamir , Song-Hai Zhang , Shi-Min Hu

3D textured face reconstruction from sketches applicable in many scenarios such as animation, 3D avatars, artistic design, missing people search, etc., is a highly promising but underdeveloped research topic. On the one hand, the stylistic…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Zidu Wang , Xiangyu Zhu , Jiang Yu , Tianshuo Zhang , Zhen Lei

Generating high-quality 3D models from 2D sketches is a challenging task due to the inherent ambiguity and sparsity of sketch data. In this paper, we present S3D, a novel framework that converts simple hand-drawn sketches into detailed 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Hail Song , Wonsik Shin , Naeun Lee , Soomin Chung , Nojun Kwak , Woontack Woo

3D Human Body Reconstruction from a monocular image is an important problem in computer vision with applications in virtual and augmented reality platforms, animation industry, en-commerce domain, etc. While several of the existing works…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Abbhinav Venkat , Chaitanya Patel , Yudhik Agrawal , Avinash Sharma

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau

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

Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. In this paper, we use an encoder/decoder architecture for the sketch to mesh translation. When…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Benoit Guillard , Edoardo Remelli , Pierre Yvernay , Pascal Fua

3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challenges due to the abstract and disproportionate nature of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Li Wang , Yiyu Zhuang , Yanwen Wang , Xun Cao , Chuan Guo , Xinxin Zuo , Hao Zhu

We propose a scalable neural network framework to reconstruct the 3D mesh of a human body from multi-view images, in the subspace of the SMPL model. Use of multi-view images can significantly reduce the projection ambiguity of the problem,…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Junbang Liang , Ming C. Lin

3D face reconstruction from a single sketch is a critical yet underexplored task with significant practical applications. The primary challenges stem from the substantial modality gap between 2D sketches and 3D facial structures, including:…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Liting Wen , Zimo Yang , Xianlin Zhang , Chi Ding , Mingdao Wang , Xueming Li

Human shape estimation is an important task for video editing, animation and fashion industry. Predicting 3D human body shape from natural images, however, is highly challenging due to factors such as variation in human bodies, clothing and…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Gül Varol , Duygu Ceylan , Bryan Russell , Jimei Yang , Ersin Yumer , Ivan Laptev , Cordelia Schmid

Face modeling has been paid much attention in the field of visual computing. There exist many scenarios, including cartoon characters, avatars for social media, 3D face caricatures as well as face-related art and design, where low-cost…

Graphics · Computer Science 2017-06-08 Xiaoguang Han , Chang Gao , Yizhou Yu

This paper focuses on the challenging task of learning 3D object surface reconstructions from RGB images. Existingmethods achieve varying degrees of success by using different surface representations. However, they all have their own…

Computer Vision and Pattern Recognition · Computer Science 2021-06-11 Jiapeng Tang , Xiaoguang Han , Mingkui Tan , Xin Tong , Kui Jia

We propose a multi-scale multi-channel deep neural network framework that, for the first time, yields sketch recognition performance surpassing that of humans. Our superior performance is a result of explicitly embedding the unique…

Computer Vision and Pattern Recognition · Computer Science 2015-07-22 Qian Yu , Yongxin Yang , Yi-Zhe Song , Tao Xiang , Timothy Hospedales

3D object reconstruction from a single image is a highly under-determined problem, requiring strong prior knowledge of plausible 3D shapes. This introduces challenges for learning-based approaches, as 3D object annotations are scarce in…

Computer Vision and Pattern Recognition · Computer Science 2017-11-10 Jiajun Wu , Yifan Wang , Tianfan Xue , Xingyuan Sun , William T Freeman , Joshua B Tenenbaum

Sketching is an important activity in any design process. Designers and stakeholders share their ideas through hand-drawn sketches. These sketches are further used to create 3D models. Current methods to generate 3D models from sketches are…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nitish Bhardwaj , Dhornala Bharadwaj , Alpana Dubey

Geometry- and appearance-controlled full-body human image generation is an interesting but challenging task. Existing solutions are either unconditional or dependent on coarse conditions (e.g., pose, text), thus lacking explicit geometry…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Linzi Qu , Jiaxiang Shang , Hui Ye , Xiaoguang Han , Hongbo Fu

Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing works try to employ the global feature extracted from sketch to…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Chenjian Gao , Qian Yu , Lu Sheng , Yi-Zhe Song , Dong Xu
‹ Prev 1 2 3 10 Next ›