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As 3D models become critical in today's manufacturing and product design, conventional 3D modeling approaches based on Computer-Aided Design (CAD) are labor-intensive, time-consuming, and have high demands on the creators. This work aims to…

Multimedia · Computer Science 2023-10-31 Ying Zang , Chenglong Fu , Tianrun Chen , Yuanqi Hu , Qingshan Liu , Wenjun Hu

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

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

Computer-Aided Design (CAD) generative modeling is driving significant innovations across industrial applications. Recent works have shown remarkable progress in creating solid models from various inputs such as point clouds, meshes, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Feiwei Qin , Shichao Lu , Junhao Hou , Changmiao Wang , Meie Fang , Ligang Liu

Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Hui Ren , Yuval Alaluf , Omer Bar Tal , Alexander Schwing , Antonio Torralba , Yael Vinker

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

Imagine a child sketching the Eiffel Tower and asking a robot to bring it to life. Today's robot manipulation systems can't act on such sketches directly-they require precise 3D block poses as goals, which in turn demand structural analysis…

Artificial Intelligence · Computer Science 2025-08-05 Yiqing Xu , Linfeng Li , Cunjun Yu , David Hsu

Human sketch has already proved its worth in various visual understanding tasks (e.g., retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of sketches - that they are also salient. This is intuitive as…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Ayan Kumar Bhunia , Subhadeep Koley , Amandeep Kumar , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

Hand-drawn sketches are a natural and efficient medium for capturing and conveying ideas. Despite significant advancements in controllable natural image generation, translating freehand sketches into structured, machine-readable diagrams…

Artificial Intelligence · Computer Science 2025-08-05 Cheng Tan , Qi Chen , Jingxuan Wei , Gaowei Wu , Zhangyang Gao , Siyuan Li , Bihui Yu , Ruifeng Guo , Stan Z. Li

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

Generating explorable 3D scenes from a single image is a highly challenging problem in 3D vision. Existing methods struggle to support free exploration, often producing severe geometric distortions and noisy artifacts when the viewpoint…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Pengfei Wang , Liyi Chen , Zhiyuan Ma , Yanjun Guo , Guowen Zhang , Lei Zhang

In this paper, we democratise 3D content creation, enabling precise generation of 3D shapes from abstract sketches while overcoming limitations tied to drawing skills. We introduce a novel part-level modelling and alignment framework that…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Hmrishav Bandyopadhyay , Subhadeep Koley , Ayan Das , Ayan Kumar Bhunia , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

Sketching is a dimensionality reduction technique where one compresses a matrix by linear combinations that are chosen at random. A line of work has shown how to sketch the Hessian to speed up each iteration in a second order method, but…

Machine Learning · Computer Science 2021-10-07 Yi Li , Honghao Lin , David P. Woodruff

Topology optimization (TO) is employed in engineering to optimize structural performance while maximizing material efficiency. However, traditional TO methods incur significant computational and time costs. Although research has leveraged…

Human-Computer Interaction · Computer Science 2026-03-20 Shuyue Feng , Cedric Caremel , Yoshihiro Kawahara

We consider the problem of approximating a two-dimensional shape contour (or curve segment) using discrete assembly systems, which allow to build geometric structures based on limited sets of node and edge types subject to edge length and…

Computational Geometry · Computer Science 2021-02-03 Andreas M. Tillmann , Leif Kobbelt

Recent deep generative models allow real-time generation of hair images from sketch inputs. Existing solutions often require a user-provided binary mask to specify a target hair shape. This not only costs users extra labor but also fails to…

Computer Vision and Pattern Recognition · Computer Science 2021-09-22 Chufeng Xiao , Deng Yu , Xiaoguang Han , Youyi Zheng , Hongbo Fu

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

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo Fu

Understanding geometric concepts, such as distance and shape, is essential for understanding the real world and also for many vision tasks. To incorporate such information into a visual representation of a scene, we propose learning to…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Hyundo Lee , Inwoo Hwang , Hyunsung Go , Won-Seok Choi , Kibeom Kim , Byoung-Tak Zhang

When learning to sketch, beginners start with simple and flexible shapes, and then gradually strive for more complex and accurate ones in the subsequent training sessions. In this paper, we design a "shape curriculum" for learning…

Computer Vision and Pattern Recognition · Computer Science 2020-07-20 Yueqi Duan , Haidong Zhu , He Wang , Li Yi , Ram Nevatia , Leonidas J. Guibas