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

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We present CoGS, a novel method for the style-conditioned, sketch-driven synthesis of images. CoGS enables exploration of diverse appearance possibilities for a given sketched object, enabling decoupled control over the structure and the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Cusuh Ham , Gemma Canet Tarres , Tu Bui , James Hays , Zhe Lin , John Collomosse

Sketch is an important media for human to communicate ideas, which reflects the superiority of human intelligence. Studies on sketch can be roughly summarized into recognition and generation. Existing models on image recognition failed to…

Computer Vision and Pattern Recognition · Computer Science 2017-09-14 Yajing Chen , Shikui Tu , Yuqi Yi , Lei Xu

Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones. However, these methods are computationally wasteful in…

Computer Vision and Pattern Recognition · Computer Science 2017-06-22 Chen-Hsuan Lin , Chen Kong , Simon Lucey

Modeling 3D avatars benefits various application scenarios such as AR/VR, gaming, and filming. Character faces contribute significant diversity and vividity as a vital component of avatars. However, building 3D character face models usually…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Zhongjin Luo , Dong Du , Heming Zhu , Yizhou Yu , Hongbo Fu , Xiaoguang Han

Modeling the shape of garments has received much attention, but most existing approaches assume the garments to be worn by someone, which constrains the range of shapes they can assume. In this work, we address shape recovery when garments…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Ren Li , Corentin Dumery , Zhantao Deng , Pascal Fua

Implicit generative models have been widely employed to model 3D data and have recently proven to be successful in encoding and generating high-quality 3D shapes. This work builds upon these models and alleviates current limitations by…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Tejaswini Medi , Jawad Tayyub , Muhammad Sarmad , Frank Lindseth , Margret Keuper

Recent advanced methods for fashion landmark detection are mainly driven by training convolutional neural networks on large-scale fashion datasets, which has a large number of annotated landmarks. However, such large-scale annotations are…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Yuying Ge , Ruimao Zhang , Ping Luo

Existing data-driven methods for garment animation, usually driven by linear skinning, although effective on tight garments, do not handle loose-fitting garments with complex deformations well. To address these limitations, we develop a…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Yifu Liu , Xiaoxia Li , Zhiling Luo , Wei Zhou

VR sketching lets users explore and iterate on ideas directly in 3D, offering a faster and more intuitive alternative to conventional CAD tools. However, existing sketch-to-shape models ignore the temporal ordering of strokes, discarding…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Yizi Chen , Sidi Wu , Tianyi Xiao , Nina Wiedemann , Loic Landrieu

The freeform architectural modeling process often involves two important stages: concept design and digital modeling. In the first stage, architects usually sketch the overall 3D shape and the panel layout on a physical or digital paper…

Graphics · Computer Science 2022-04-27 Zhi Deng , Yang Liu , Hao Pan , Wassim Jabi , Juyong Zhang , Bailin Deng

This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations. In contrast to existing learning-based…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Tianxing Li , Rui Shi , Takashi Kanai

Deep learning has demonstrated remarkable capabilities in simulating complex dynamic systems. However, existing methods require known physical properties as supervision or inputs, limiting their applicability under unknown conditions. To…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Yuliang Zhan , Jian Li , Wenbing Huang , Wenbing Huang , Yang Liu , Hao Sun

Sketch-based 3D shape retrieval is a challenging task due to the large domain discrepancy between sketches and 3D shapes. Since existing methods are trained and evaluated on the same categories, they cannot effectively recognize the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-01 Rui Xu , Zongyan Han , Le Hui , Jianjun Qian , Jin Xie

Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation provides an attractive alternative, especially if it can be…

Computer Vision and Pattern Recognition · Computer Science 2022-09-26 Meng Zhang , Duygu Ceylan , Niloy J. Mitra

Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are draped. However, they are either unable to handle…

Computer Vision and Pattern Recognition · Computer Science 2023-10-17 Ren Li , Benoît Guillard , Pascal Fua

Dense point cloud generation from a sparse or incomplete point cloud is a crucial and challenging problem in 3D computer vision and computer graphics. So far, the existing methods are either computationally too expensive, suffer from…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Abol Basher , Jani Boutellier

Articulated 3D object generation is fundamental for creating realistic, functional, and interactable virtual assets which are not simply static. We introduce MeshArt, a hierarchical transformer-based approach to generate articulated 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Daoyi Gao , Yawar Siddiqui , Lei Li , Angela Dai

Sketches serve as fundamental blueprints in artistic creation because sketch editing is easier and more intuitive than pixel-level RGB image editing for painting artists, yet sketch generation remains unexplored despite advancements in…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Ruohao Zhan , Yijin Li , Yisheng He , Shuo Chen , Yichen Shen , Xinyu Chen , Zilong Dong , Zhaoyang Huang , Guofeng Zhang

Generating sketches guided by reference styles requires precise transfer of stroke attributes, such as line thickness, deformation, and texture sparsity, while preserving semantic structure and content fidelity. To this end, we propose…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Rui Yang , Huining Li , Yiyi Long , Xiaojun Wu , Shengfeng He

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for various applications. This necessitates creating simple and…

Graphics · Computer Science 2018-07-17 Tuanfeng Y. Wang , Duygu Ceylan , Jovan Popovic , Niloy J. Mitra