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Related papers: Sketch2Cloth: Sketch-based 3D Garment Generation w…

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The immense amount of daily generated and communicated data presents unique challenges in their processing. Clustering, the grouping of data without the presence of ground-truth labels, is an important tool for drawing inferences from data.…

Machine Learning · Statistics 2018-02-08 Panagiotis A. Traganitis , Georgios B. Giannakis

We present a StyleGAN2-based deep learning approach for 3D shape generation, called SDF-StyleGAN, with the aim of reducing visual and geometric dissimilarity between generated shapes and a shape collection. We extend StyleGAN2 to 3D…

Computer Vision and Pattern Recognition · Computer Science 2022-06-27 Xin-Yang Zheng , Yang Liu , Peng-Shuai Wang , Xin Tong

While recent generative models for 2D images achieve impressive visual results, they clearly lack the ability to perform 3D reasoning. This heavily restricts the degree of control over generated objects as well as the possible applications…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Dario Pavllo , Graham Spinks , Thomas Hofmann , Marie-Francine Moens , Aurelien Lucchi

We introduce the first method for automatic image generation from scene-level freehand sketches. Our model allows for controllable image generation by specifying the synthesis goal via freehand sketches. The key contribution is an attribute…

Computer Vision and Pattern Recognition · Computer Science 2020-04-08 Chengying Gao , Qi Liu , Qi Xu , Limin Wang , Jianzhuang Liu , Changqing Zou

Video generation and editing conditioned on text prompts or images have undergone significant advancements. However, challenges remain in accurately controlling global layout and geometry details solely by texts, and supporting motion…

Graphics · Computer Science 2025-04-01 Feng-Lin Liu , Hongbo Fu , Xintao Wang , Weicai Ye , Pengfei Wan , Di Zhang , Lin Gao

We consider the problem of reconstructing a 3D scene from multiple sketches. We propose a pipeline which involves (1) stitching together multiple sketches through use of correspondence points, (2) converting the stitched sketch into a…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Abhimanyu Talwar , Julien Laasri

Existing 3D reconstruction methods utilize guidances such as 2D images, 3D point clouds, shape contours and single semantics to recover the 3D surface, which limits the creative exploration of 3D modeling. In this paper, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Liangchen Li , Caoliwen Wang , Yuqi Zhou , Bailin Deng , Juyong Zhang

We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Zhengyan Tong , Xuanhong Chen , Bingbing Ni , Xiaohang Wang

Creating and editing the shape and color of 3D objects require tremendous human effort and expertise. Compared to direct manipulation in 3D interfaces, 2D interactions such as sketches and scribbles are usually much more natural and…

Computer Vision and Pattern Recognition · Computer Science 2022-07-26 Zezhou Cheng , Menglei Chai , Jian Ren , Hsin-Ying Lee , Kyle Olszewski , Zeng Huang , Subhransu Maji , Sergey Tulyakov

Recent research works have focused on generating human models and garments from their 2D images. However, state-of-the-art researches focus either on only a single layer of the garment on a human model or on generating multiple garment…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Alakh Aggarwal , Jikai Wang , Steven Hogue , Saifeng Ni , Madhukar Budagavi , Xiaohu Guo

We introduce Cloth-Splatting, a method for estimating 3D states of cloth from RGB images through a prediction-update framework. Cloth-Splatting leverages an action-conditioned dynamics model for predicting future states and uses 3D Gaussian…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Alberta Longhini , Marcel Büsching , Bardienus P. Duisterhof , Jens Lundell , Jeffrey Ichnowski , Mårten Björkman , Danica Kragic

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

We propose a new generative model for 3D garment deformations that enables us to learn, for the first time, a data-driven method for virtual try-on that effectively addresses garment-body collisions. In contrast to existing methods that…

Computer Vision and Pattern Recognition · Computer Science 2021-05-14 Igor Santesteban , Nils Thuerey , Miguel A. Otaduy , Dan Casas

We present SketchGPT, a flexible framework that employs a sequence-to-sequence autoregressive model for sketch generation, and completion, and an interpretation case study for sketch recognition. By mapping complex sketches into simplified…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Adarsh Tiwari , Sanket Biswas , Josep Lladós

Automatic mesh-based shape generation is of great interest across a wide range of disciplines, from industrial design to gaming, computer graphics and various other forms of digital art. While most traditional methods focus on primitive…

Graphics · Computer Science 2017-09-25 Chiyu "Max" Jiang , Philip Marcus

We present a simple and efficient method based on deep learning to automatically decompose sketched objects into semantically valid parts. We train a deep neural network to transfer existing segmentations and labelings from 3D models to…

Graphics · Computer Science 2018-08-01 Lei Li , Hongbo Fu , Chiew-Lan Tai

Realistic digital garment modeling remains a labor-intensive task due to the intricate process of translating 2D sewing patterns into high-fidelity, simulation-ready 3D garments. We introduce GarmageNet, a unified generative framework that…

Graphics · Computer Science 2025-10-15 Siran Li , Ruiyang Liu , Chen Liu , Zhendong Wang , Gaofeng He , Yong-Lu Li , Xiaogang Jin , Huamin Wang

We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions. We also contribute a new dataset of one thousand examples of pairs of line drawings and…

Computer Vision and Pattern Recognition · Computer Science 2020-04-06 Qingyuan Zheng , Zhuoru Li , Adam Bargteil

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

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
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