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Parametric computer-aided design (CAD) is the dominant paradigm in mechanical engineering for physical design. Distinguished by relational geometry, parametric CAD models begin as two-dimensional sketches consisting of geometric primitives…

Machine Learning · Computer Science 2020-07-17 Ari Seff , Yaniv Ovadia , Wenda Zhou , Ryan P. Adams

Sketching is used as a ubiquitous tool of expression by novices and experts alike. In this thesis I explore two methods that help a system provide a geometric machine-understanding of sketches, and in-turn help a user accomplish a…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Raghav Brahmadesam Venkataramaiyer

Restricted by the limited interaction area of native AR glasses (e.g., touch bars), it is challenging to create sketches in AR glasses. Recent works have attempted to use mobile devices (e.g., tablets) or mid-air bare-hand gestures to…

Human-Computer Interaction · Computer Science 2022-10-28 Enting Ying , Tianyang Xiong , Shihui Guo , Ming Qiu , Yipeng Qin , Hongbo Fu

The goal of the Semantic Scene Completion (SSC) task is to simultaneously predict a completed 3D voxel representation of volumetric occupancy and semantic labels of objects in the scene from a single-view observation. Since the…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Xiaokang Chen , Kwan-Yee Lin , Chen Qian , Gang Zeng , Hongsheng Li

We introduce Scan2Mesh, a novel data-driven generative approach which transforms an unstructured and potentially incomplete range scan into a structured 3D mesh representation. The main contribution of this work is a generative neural…

Computer Vision and Pattern Recognition · Computer Science 2019-04-03 Angela Dai , Matthias Nießner

Developing deep neural networks to generate 3D scenes is a fundamental problem in neural synthesis with immediate applications in architectural CAD, computer graphics, as well as in generating virtual robot training environments. This task…

Computer Vision and Pattern Recognition · Computer Science 2021-09-02 Haitao Yang , Zaiwei Zhang , Siming Yan , Haibin Huang , Chongyang Ma , Yi Zheng , Chandrajit Bajaj , Qixing Huang

Sketches, with their expressive potential, allow humans to convey the essence of an object through even a rough contour. For the first time, we harness this expressive potential to improve segmentation performance in challenging tasks like…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Ying Zang , Runlong Cao , Jianqi Zhang , Yidong Han , Ziyue Cao , Wenjun Hu , Didi Zhu , Lanyun Zhu , Zejian Li , Deyi Ji , Tianrun Chen

The creation of complex 3D scenes tailored to user specifications has been a tedious and challenging task with traditional 3D modeling tools. Although some pioneering methods have achieved automatic text-to-3D generation, they are generally…

Computer Vision and Pattern Recognition · Computer Science 2025-05-09 Xiuyu Yang , Yunze Man , Jun-Kun Chen , Yu-Xiong Wang

User Interface (UI) prototyping is a necessary step in the early stages of application development. Transforming sketches of a Graphical User Interface (UI) into a coded UI application is an uninspired but time-consuming task performed by a…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Vanita Jain , Piyush Agrawal , Subham Banga , Rishabh Kapoor , Shashwat Gulyani

Recognizing freehand sketches with high arbitrariness is greatly challenging. Most existing methods either ignore the geometric characteristics or treat sketches as handwritten characters with fixed structural ordering. Consequently, they…

Computer Vision and Pattern Recognition · Computer Science 2017-08-10 Qi Jia , Meiyu Yu , Xin Fan , Haojie Li

Generating sketches with specific patterns as expected, i.e., manipulating sketches in a controllable way, is a popular task. Recent studies control sketch features at stroke-level by editing values of stroke embeddings as conditions.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Sicong Zang , Shuhui Gao , Zhijun Fang

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and the absence of an explicit structure. In this work, we…

Graphics · Computer Science 2022-01-28 Xusheng Du , Yi He , Xi Yang , Chia-Ming Chang , Haoran Xie

We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel multi-turn process-reward reinforcement learning following supervised fine-tuning. Our…

Artificial Intelligence · Computer Science 2026-04-27 Xiaodan Du , Ruize Xu , David Yunis , Yael Vinker , Greg Shakhnarovich

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

Articulated 3D object generation is fundamental for creating realistic, functional, and interactable virtual assets which are not simply static. We introduce MeshArt, a hierarchical transformer-based approach to generate articulated 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Daoyi Gao , Yawar Siddiqui , Lei Li , Angela Dai

We propose a method to generate 3D shapes using point clouds. Given a point-cloud representation of a 3D shape, our method builds a kd-tree to spatially partition the points. This orders them consistently across all shapes, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2017-07-21 Matheus Gadelha , Subhransu Maji , Rui Wang

Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of deep generative convolutional neural networks (CNNs), attempts…

Computer Vision and Pattern Recognition · Computer Science 2018-01-03 Xing Di , Vishal M. Patel

Sketch and speech are intuitive interaction methods that convey complementary information and have been independently used for 3D model retrieval in virtual environments. While sketch has been shown to be an effective retrieval method, not…

Human-Computer Interaction · Computer Science 2021-05-06 Daniele Giunchi , Alejandro Sztrajman , Stuart James , Anthony Steed

Sketching is one of the most fundamental tools in large-scale machine learning. It enables runtime and memory saving via randomly compressing the original large problem into lower dimensions. In this paper, we propose a novel sketching…

Machine Learning · Computer Science 2023-06-08 Zhao Song , Yitan Wang , Zheng Yu , Lichen Zhang

Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While Augmented and Virtual Reality technologies (AR/VR) have…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Hui Xian Grace Lim , Xuanming Cui , Yogesh S Rawat , Ser-Nam Lim