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

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Existing approaches for 3D garment reconstruction either assume a predefined template for the garment geometry (restricting them to fixed clothing styles) or yield vertex colored meshes (lacking high-frequency textural details). Our novel…

Computer Vision and Pattern Recognition · Computer Science 2022-08-30 Astitva Srivastava , Chandradeep Pokhariya , Sai Sagar Jinka , Avinash Sharma

Fabricating and designing 3D garments has become extremely demanding with the increasing need for synthesizing realistic dressed persons for a variety of applications, e.g. 3D virtual try-on, digitalization of 2D clothes into 3D apparel,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Daiheng Gao , Xu Chen , Xindi Zhang , Qi Wang , Ke Sun , Bang Zhang , Liefeng Bo , Qixing Huang

In this work, we propose an interactive system to design diverse high-quality garment images from fashion sketches and the texture information. The major challenge behind this system is to generate high-quality and detailed texture…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Yao Li , Xianggang Yu , Xiaoguang Han , Nianjuan Jiang , Kui Jia , Jiangbo Lu

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

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Michelle Guo , Mia Tang , Hannah Cha , Ruohan Zhang , C. Karen Liu , Jiajun Wu

Reconstructing 3D clothed humans from images is fundamental to applications like virtual try-on, avatar creation, and mixed reality. While recent advances have enhanced human body recovery, accurate reconstruction of garment geometry --…

Graphics · Computer Science 2025-05-16 Ren Li , Cong Cao , Corentin Dumery , Yingxuan You , Hao Li , Pascal Fua

The capability to generate simulation-ready garment models from 3D shapes of clothed humans will significantly enhance the interpretability of captured geometry of real garments, as well as their faithful reproduction in the virtual world.…

Graphics · Computer Science 2024-10-22 Boyang Yu , Frederic Cordier , Hyewon Seo

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau

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

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

Accurately drawing 3D objects is difficult for untrained individuals, as it requires an understanding of perspective and its effects on geometry and proportions. Step-by-step tutorials break the complex task of sketching an entire object…

Graphics · Computer Science 2016-07-28 James W. Hennessey , Han Liu , Holger Winnemöller , Mira Dontcheva , Niloy J. Mitra

We present a novel method for generating 3D garment deformations from given body poses, which is key to a wide range of applications, including virtual try-on and extended reality. To simplify the cloth dynamics, existing methods mostly…

Computer Vision and Pattern Recognition · Computer Science 2025-12-08 Rong Wang , Wei Mao , Changsheng Lu , Hongdong Li

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

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

3D scene generation has quickly become a challenging new research direction, fueled by consistent improvements of 2D generative diffusion models. Most prior work in this area generates scenes by iteratively stitching newly generated frames…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Paul Engstler , Andrea Vedaldi , Iro Laina , Christian Rupprecht

Traditional 3D garment creation is labor-intensive, involving sketching, modeling, UV mapping, and texturing, which are time-consuming and costly. Recent advances in diffusion-based generative models have enabled new possibilities for 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Boqian Li , Xuan Li , Ying Jiang , Tianyi Xie , Feng Gao , Huamin Wang , Yin Yang , Chenfanfu Jiang

Garments are ubiquitous in both real and many of the virtual worlds. They are highly deformable objects, exhibit an immense variety of designs and shapes, and yet, most garments are created from a set of regularly shaped flat pieces.…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Maria Korosteleva , Sung-Hee Lee

We present a method to dynamically deform 3D garments, in the form of a 3D polygon mesh, based on body shape, motion, and physical cloth material properties. Considering physical cloth properties allows to learn a physically grounded model,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Antoine Dumoulin , Adnane Boukhayma , Laurence Boissieux , Bharath Bhushan Damodaran , Pierre Hellier , Stefanie Wuhrer

The rapid development of AR/VR brings tremendous demands for 3D content. While the widely-used Computer-Aided Design (CAD) method requires a time-consuming and labor-intensive modeling process, sketch-based 3D modeling offers a potential…

Computer Vision and Pattern Recognition · Computer Science 2023-09-25 Tianrun Chen , Chenglong Fu , Ying Zang , Lanyun Zhu , Jia Zhang , Papa Mao , Lingyun Sun

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