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Related papers: 3D VR Sketch Guided 3D Shape Prototyping and Explo…

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We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous methods usually represent a 3D shape in volume or point cloud,…

Computer Vision and Pattern Recognition · Computer Science 2018-08-06 Nanyang Wang , Yinda Zhang , Zhuwen Li , Yanwei Fu , Wei Liu , Yu-Gang Jiang

Sketch-and-extrude is a common and intuitive modeling process in computer aided design. This paper studies the problem of learning the shape given in the form of point clouds by inverse sketch-and-extrude. We present ExtrudeNet, an…

Computer Vision and Pattern Recognition · Computer Science 2022-10-03 Daxuan Ren , Jianmin Zheng , Jianfei Cai , Jiatong Li , Junzhe Zhang

A 3D scene consists of a set of objects, each with a shape and a layout giving their position in space. Understanding 3D scenes from 2D images is an important goal, with applications in robotics and graphics. While there have been recent…

Computer Vision and Pattern Recognition · Computer Science 2022-06-15 Georgia Gkioxari , Nikhila Ravi , Justin Johnson

Creating physically realistic content in VR often requires complex modeling tools or predefined 3D models, textures, and animations, which present significant barriers for non-expert users. In this paper, we propose SketchPlay, a novel VR…

Human-Computer Interaction · Computer Science 2025-12-29 Xiangwen Zhang , Xiaowei Dai , Runnan Chen , Xiaoming Chen , Zeke Zexi Hu

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

As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident. In our work, we aim to train…

Computer Vision and Pattern Recognition · Computer Science 2022-09-23 Jun Gao , Tianchang Shen , Zian Wang , Wenzheng Chen , Kangxue Yin , Daiqing Li , Or Litany , Zan Gojcic , Sanja Fidler

The advancement of generative radiance fields has pushed the boundary of 3D-aware image synthesis. Motivated by the observation that a 3D object should look realistic from multiple viewpoints, these methods introduce a multi-view constraint…

Computer Vision and Pattern Recognition · Computer Science 2021-12-10 Xingang Pan , Xudong Xu , Chen Change Loy , Christian Theobalt , Bo Dai

Large-scale pre-trained image-to-3D generative models have exhibited remarkable capabilities in diverse shape generations. However, most of them struggle to synthesize plausible 3D assets when the reference image is flat-colored like hand…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Xiaoyan Cong , Jiayi Shen , Zekun Li , Rao Fu , Tao Lu , Srinath Sridhar

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

Deep generative models have shown great promise when it comes to synthesising novel images. While they can generate images that look convincing on a higher-level, generating fine-grained details is still a challenge. In order to foster…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Andrin Jenal , Nikolay Savinov , Torsten Sattler , Gaurav Chaurasia

We present a generative model to synthesize 3D shapes as sets of handles -- lightweight proxies that approximate the original 3D shape -- for applications in interactive editing, shape parsing, and building compact 3D representations. Our…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Matheus Gadelha , Giorgio Gori , Duygu Ceylan , Radomir Mech , Nathan Carr , Tamy Boubekeur , Rui Wang , Subhransu Maji

Ongoing advancements in the fields of 3D modelling and digital archiving have led to an outburst in the amount of data stored digitally. Consequently, several retrieval systems have been developed depending on the type of data stored in…

Computer Vision and Pattern Recognition · Computer Science 2021-07-21 Bharadwaj Manda , Shubham Dhayarkar , Sai Mitheran , V. K. Viekash , Ramanathan Muthuganapathy

While free-hand sketching has long served as an efficient representation to convey characteristics of an object, they are often subjective, deviating significantly from realistic representations. Moreover, sketches are not consistent for…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Changwoon Choi , Jaeah Lee , Jaesik Park , Young Min Kim

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

Recently, encoders like ViT (vision transformer) and ResNet have been trained on vast datasets and utilized as perceptual metrics for comparing sketches and images, as well as multi-domain encoders in a zero-shot setting. However, there has…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Gianluca Berardi , Yulia Gryaditskaya

Computer-aided design (CAD) is the most widely used modeling approach for technical design. The typical starting point in these designs is 2D sketches which can later be extruded and combined to obtain complex three-dimensional assemblies.…

Machine Learning · Computer Science 2021-06-08 Wamiq Reyaz Para , Shariq Farooq Bhat , Paul Guerrero , Tom Kelly , Niloy Mitra , Leonidas Guibas , Peter Wonka

Reconstructing 3D human shapes from 2D images has received increasing attention recently due to its fundamental support for many high-level 3D applications. Compared with natural images, freehand sketches are much more flexible to depict…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Fei Wang , Kongzhang Tang , Hefeng Wu , Baoquan Zhao , Hao Cai , Teng Zhou

Creating 3D shapes from 2D drawings is an important problem with applications in content creation for computer animation and virtual reality. We introduce a new sketch-based system, CreatureShop, that enables amateurs to create high-quality…

D shape generation is a fundamental operation in computer graphics. While significant progress has been made, especially with recent deep generative models, it remains a challenge to synthesize high-quality shapes with rich geometric…

Graphics · Computer Science 2022-05-31 Jie Yang , Kaichun Mo , Yu-Kun Lai , Leonidas J. Guibas , Lin Gao

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