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Related papers: Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Gener…

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3D shape modeling is labor-intensive, time-consuming, and requires years of expertise. To facilitate 3D shape modeling, we propose a 3D shape generation network that takes a 3D VR sketch as a condition. We assume that sketches are created…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Ling Luo , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song , Yulia Gryaditskaya

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

We investigate the problem of generating 3D meshes from single free-hand sketches, aiming at fast 3D modeling for novice users. It can be regarded as a single-view reconstruction problem, but with unique challenges, brought by the variation…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Song-Hai Zhang , Yuan-Chen Guo , Qing-Wen Gu

Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Tianyu Zhang , Xiaoxuan Xie , Xusheng Du , Haoran Xie

This work aims to investigate the problem of 3D modeling using single free-hand sketches, which is one of the most natural ways we humans express ideas. Although sketch-based 3D modeling can drastically make the 3D modeling process more…

Multimedia · Computer Science 2023-12-08 Tianrun Chen , Chenglong Fu , Lanyun Zhu , Papa Mao , Jia Zhang , Ying Zang , Lingyun Sun

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

Designing 3D objects from scratch is difficult, especially when the user intent is fuzzy without a clear target form. In the spirit of modeling-by-example, we facilitate design by providing reference and inspiration from existing model…

Graphics · Computer Science 2019-04-17 Xiaohua Xie , Kai Xu , Niloy J. Mitra , Daniel Cohen-Or , Baoquan Chen

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

Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing…

Graphics · Computer Science 2024-05-15 Feng-Lin Liu , Hongbo Fu , Yu-Kun Lai , Lin Gao

We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD operations. Our approach is motivated by the close similarities…

Graphics · Computer Science 2020-09-11 Changjian Li , Hao Pan , Adrien Bousseau , Niloy J. Mitra

Significant progress has been made in training large generative models for natural language and images. Yet, the advancement of 3D generative models is hindered by their substantial resource demands for training, along with inefficient,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Ka-Hei Hui , Aditya Sanghi , Arianna Rampini , Kamal Rahimi Malekshan , Zhengzhe Liu , Hooman Shayani , Chi-Wing Fu

Recent years have seen an explosion of work and interest in text-to-3D shape generation. Much of the progress is driven by advances in 3D representations, large-scale pretraining and representation learning for text and image data enabling…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Han-Hung Lee , Manolis Savva , Angel X. Chang

Recently, image-to-3D approaches have achieved significant results with a natural image as input. However, it is not always possible to access these enriched color input samples in practical applications, where only sketches are available.…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Wangguandong Zheng , Haifeng Xia , Rui Chen , Ming Shao , Siyu Xia , Zhengming Ding

The scarcity of free-hand sketch presents a challenging problem. Despite the emergence of some large-scale sketch datasets, these datasets primarily consist of sketches at the single-object level. There continues to be a lack of large-scale…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Zhenbei Wu , Qiang Wang , Jie Yang

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

The requirement for 3D content is growing as AR/VR application emerges. At the same time, 3D modelling is only available for skillful experts, because traditional methods like Computer-Aided Design (CAD) are often too labor-intensive and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Ying Zang , Yidong Han , Chaotao Ding , Jianqi Zhang , Tianrun Chen

3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel deep-learning based approach for automatically generating…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Yongzhi Xu , Yonhon Ng , Yifu Wang , Inkyu Sa , Yunfei Duan , Zhenhong Sun , Yang Li , Pan Ji , Hongdong Li

Recently, text-to-3D approaches have achieved high-fidelity 3D content generation using text description. However, the generated objects are stochastic and lack fine-grained control. Sketches provide a cheap approach to introduce such…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Minglin Chen , Weihao Yuan , Yukun Wang , Zhe Sheng , Yisheng He , Zilong Dong , Liefeng Bo , Yulan Guo

Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods still suffer from limitations in…

Graphics · Computer Science 2023-09-13 Jie Zhou , Zhongjin Luo , Qian Yu , Xiaoguang Han , Hongbo Fu

Capturing and labeling real-world 3D data is laborious and time-consuming, which makes it costly to train strong 3D models. To address this issue, recent works present a simple method by generating randomized 3D scenes without simulation…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Lanxiao Li , Michael Heizmann
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