English
Related papers

Related papers: GroundUp: Rapid Sketch-Based 3D City Massing

200 papers

3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, the conventional reconstruction approaches with template mesh deformation and implicit fields have difficulty in…

Graphics · Computer Science 2023-03-02 Yi He , Haoran Xie , Kazunori Miyata

In the past decade, advances in artificial intelligence have revolutionized sketch-based 3D modeling, leading to a new paradigm known as Deep Sketch-Based 3D Modeling (DS-3DM). DS-3DM offers data-driven methods that address the…

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

Converting hand-drawn sketches into structured 3D geometries remains challenging due to the difficulty of representing non-Euclidean surfaces and maintaining topological consistency. Existing generative models such as GANs, NeRFs, and…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Wenda Wang , Anqi Liu , Junqi Yang , Lei He , Luying Wang , Jiachen Lu , Weixin Huang

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

Urban modeling is essential for city planning, scene synthesis, and gaming. Existing image-based methods generate diverse layouts but often lack geometric continuity and scalability, while graph-based methods capture structural relations…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Mengyuan Niu , Xinxin Zhuo , Ruizhe Wang , Yuyue Huang , Junyan Yang , Qiao Wang

Multiple sketch datasets have been proposed to understand how people draw 3D objects. However, such datasets are often of small scale and cover a small set of objects or categories. In addition, these datasets contain freehand sketches…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Chufeng Xiao , Wanchao Su , Jing Liao , Zhouhui Lian , Yi-Zhe Song , Hongbo Fu

We develop a novel linear-complexity bottom-up sketching-based algorithm for constructing a $H^2$ matrix, and present its high performance GPU implementation. The construction algorithm requires both a black-box sketching operator and an…

Mathematical Software · Computer Science 2025-06-23 Wajih Halim Boukaram , Yang Liu , Pieter Ghysels , Xiaoye Sherry Li

In the early design stage of Japanese detached houses, the lack of a unified design representation among clients, sales representatives, and designers leads to design drift and inefficient feedback. Usually, sketches handed off by sales…

Graphics · Computer Science 2026-03-18 Zhengyang Wang , Nuttapong Rochanavibhata , Yuxiao Ren , Xusheng Du , Ye Zhang , Haoran Xie

Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semantic and geometric information. To address this, we propose Sketch2Symm, a two-stage…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Yan Zhou , Mingji Li , Xiantao Zeng , Jie Lin , Yuexia Zhou

Generative AI offers new opportunities for automating urban planning by creating site-specific urban layouts and enabling flexible design exploration. However, existing approaches often struggle to produce realistic and practical designs at…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Qingyi Wang , Yuebing Liang , Yunhan Zheng , Kaiyuan Xu , Jinhua Zhao , Shenhao Wang

Articulation modeling aims to infer movable parts and their motion parameters for a 3D object, enabling interactive animation, simulation, and shape editing. In this paper, we present Sketch2Arti, the first sketch-based articulation…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Yi Yang , Hao Pan , Yijing Cui , Alla Sheffer , Changjian Li

3D city generation is a desirable yet challenging task, since humans are more sensitive to structural distortions in urban environments. Additionally, generating 3D cities is more complex than 3D natural scenes since buildings, as objects…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Haozhe Xie , Zhaoxi Chen , Fangzhou Hong , Ziwei Liu

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

Facade renovation offers a more sustainable alternative to full demolition, yet producing design proposals that preserve existing structures while expressing new intent remains challenging. Current workflows typically require detailed…

Artificial Intelligence · Computer Science 2026-01-14 Warissara Booranamaitree , Xusheng Du , Yushu Cai , Zhengyang Wang , Ye Zhang , Haoran Xie

Creating large-scale interactive 3D environments is essential for the development of Robotics and Embodied AI research. Current methods, including manual design, procedural generation, diffusion-based scene generation, and large language…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Yian Wang , Xiaowen Qiu , Jiageng Liu , Zhehuan Chen , Jiting Cai , Yufei Wang , Tsun-Hsuan Wang , Zhou Xian , Chuang Gan

Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' ability in understanding and generating visual content. An…

Human-Computer Interaction · Computer Science 2021-11-22 Forrest Huang , Eldon Schoop , David Ha , Jeffrey Nichols , John Canny

Recent advances in image acquisition and scene reconstruction have enabled the generation of high-quality structural urban scene geometry, given sufficient site information. However, current capture techniques often overlook the crucial…

Graphics · Computer Science 2025-09-29 Weidan Xiong , Bochuan Zeng , Ziyu Hu , Jianwei Guo , Ke Xie , Hui Huang

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

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