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

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We present a novel task: text-to-3D sketch animation, which aims to bring freeform sketches to life in dynamic 3D space. Unlike prior works focused on photorealistic content generation, we target sparse, stylized, and view-consistent 3D…

Graphics · Computer Science 2025-10-30 Hao Chen , Jiaqi Wang , Yonggang Qi , Ke Li , Kaiyue Pang , Yi-Zhe Song

Generating images from hand-drawings is a crucial and fundamental task in content creation. The translation is difficult as there exist infinite possibilities and the different users usually expect different outcomes. Therefore, we propose…

Computer Vision and Pattern Recognition · Computer Science 2022-09-02 Shin-I Cheng , Yu-Jie Chen , Wei-Chen Chiu , Hung-Yu Tseng , Hsin-Ying Lee

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

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

Although great progress has been made in 3D visual grounding, current models still rely on explicit textual descriptions for grounding and lack the ability to reason human intentions from implicit instructions. We propose a new task called…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Chenming Zhu , Tai Wang , Wenwei Zhang , Kai Chen , Xihui Liu

One of the purposes of perception is to bridge between sensors and conceptual understanding. Marr's Primal Sketch combined initial edge-finding with multiple downstream processes to capture aspects of visual perception such as grouping and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Kenneth D. Forbus , Kezhen Chen , Wangcheng Xu , Madeline Usher

We introduce MeshPad, a generative approach that creates 3D meshes from sketch inputs. Building on recent advances in artist-reminiscent triangle mesh generation, our approach addresses the need for interactive mesh creation. To this end,…

Graphics · Computer Science 2025-08-12 Haoxuan Li , Ziya Erkoc , Lei Li , Daniele Sirigatti , Vladyslav Rozov , Angela Dai , Matthias Nießner

Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images from sketches is still a challenging problem. It is, first…

Computer Vision and Pattern Recognition · Computer Science 2022-05-23 Xian Wu , Chen Wang , Hongbo Fu , Ariel Shamir , Song-Hai Zhang , Shi-Min Hu

Current 3D layout estimation models are primarily trained on synthetic datasets containing simple single room or single floor environments. As a consequence, they cannot natively handle large multi floor buildings and require scenes to be…

Computer Vision and Pattern Recognition · Computer Science 2025-12-03 Valentin Bieri , Marie-Julie Rakotosaona , Keisuke Tateno , Francis Engelmann , Leonidas Guibas

The integration of geometric reconstruction and generative modeling remains a critical challenge in developing AI systems capable of human-like spatial reasoning. This paper proposes Aether, a unified framework that enables geometry-aware…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Aether Team , Haoyi Zhu , Yifan Wang , Jianjun Zhou , Wenzheng Chang , Yang Zhou , Zizun Li , Junyi Chen , Chunhua Shen , Jiangmiao Pang , Tong He

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 provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space), making it a natural medium for automatic content creation. Yet existing approaches often constrain sketches…

Human-Computer Interaction · Computer Science 2026-01-29 Boyu Li , Lin-Ping Yuan , Zeyu Wang , Hongbo Fu

Urban 3D modeling from satellite images requires accurate semantic segmentation to delineate urban features, multiple view stereo for 3D reconstruction of surface heights, and 3D model fitting to produce compact models with accurate surface…

Computer Vision and Pattern Recognition · Computer Science 2021-07-13 Shea Hagstrom , Hee Won Pak , Stephanie Ku , Sean Wang , Gregory Hager , Myron Brown

A sketch based 3D shape retrieval

Computer Vision and Pattern Recognition · Computer Science 2019-03-14 Yinjie Lei , Ziqin Zhou , Pingping Zhang , Yulan Guo , Zijun Ma , Lingqiao Liu

We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest. Our interface features tools to express a desired image manipulation by providing…

Computer Vision and Pattern Recognition · Computer Science 2018-06-08 Tiziano Portenier , Qiyang Hu , Attila Szabó , Siavash Arjomand Bigdeli , Paolo Favaro , Matthias Zwicker

In traditional human living environment landscape design, the establishment of three-dimensional models is an essential step for designers to intuitively present the spatial relationships of design elements, as well as a foundation for…

Human-Computer Interaction · Computer Science 2024-04-26 Ran Chen , Zeke Lian , Yueheng He , Xiao Ling , Fuyu Yang , Xueqi Yao , Xingjian Yi , Jing Zhao

Recent years have witnessed remarkable progress in generative AI, with natural language emerging as the most common conditioning input. As underlying models grow more powerful, researchers are exploring increasingly diverse conditioning…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Ahmed Bourouis , Mikhail Bessmeltsev , Yulia Gryaditskaya

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, previous methods mainly use edge maps instead of sketches to…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Shuai Yang , Zhangyang Wang , Jiaying Liu , Zongming Guo

Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from these sources, and then loads the data into a set of data…

Databases · Computer Science 2010-09-02 Flavio Rizzolo , Iluju Kiringa , Rachel Pottinger , Kwok Wong

In this paper, we propose the first sketching system for interactively personalized and photorealistic face caricaturing. Input an image of a human face, the users can create caricature photos by manipulating its facial feature curves. Our…

Computer Vision and Pattern Recognition · Computer Science 2018-07-25 Xiaoguang Han , Kangcheng Hou , Dong Du , Yuda Qiu , Yizhou Yu , Kun Zhou , Shuguang Cui
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