Automatic Realistic 3D Garment Generation Based on Two Images

Huang, Ping; Yao, Junfeng; Zhao, Hengheng

doi:10.1109/icvrv.2016.48

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…Previous work has addressed this problem to some extent. Huang et al [28] proposed a realistic 3D garment generation algorithm based on front and back image sketches, but it cannot readily retarget generated garments to other body shapes. Wang et al [29] proposed an algorithm which can conveniently perform retargeting, but permits limited topology like T-shirts or skirts.…”

Section: Garment Modeling and Designmentioning

confidence: 99%

Machine learning for digital try-on: Challenges and progress

Liang

2020

Comp. Visual Media

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Digital try-on systems for e-commerce have the potential to change people's lives and provide notable economic benefits. However, their development is limited by practical constraints, such as accurate sizing of the body and realism of demonstrations. We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly tractable. For each, we describe the problem, introduce state-of-the-art approaches, and provide future directions.

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Section: Garment Modeling and Designmentioning

confidence: 99%

Machine learning for digital try-on: Challenges and progress

Liang

2020

Comp. Visual Media

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“…Some works tried to solve these problems by providing fixed topologies for cloths, such as pants or T-shirts [17], or through user-assisted inputs [51].…”

Section: Garment Mesh Reconstructionmentioning

confidence: 99%

“…In the past, it is one of the most popular ways to generate garment models with sketches. Various methods are explored in past few years, such as grid and geometric method [14,17,60], multi-view sketches method [61], front and back sketch images method [51] and so on. Plenty of efforts are paid to improve the reality of the generated garment model as well, for example, the context-aware method [15].…”

Section: Garment Mesh Reconstructionmentioning

confidence: 99%

“…The silhouette edges can be identified and tied to silhouette strokes on the sketch which represents the discontinuous sets of non-planar curves on the 3D model. With front and back sketches of garment, realistic 3D garment models can be automatically generated [51]. Several feature points from the silhouette are selected to show the distribution characteristics which are used to classify the garment types.…”

Section: Garment Mesh Reconstructionmentioning

confidence: 99%

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Garment mesh reconstruction and animation

Ju¹

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With great potential in online garment shopping and game animation, recent years research in garment virtual try-on becomes more and more popular. Garment virtual try-on can be divided into three parts, namely 3D garment mesh reconstruction, animation and texture transfer. Most of current research only focus on one of the sub-fields and are difficult to be combined. There is still no endto-end pipeline. In this report, we propose a network to reconstruct the 3D garment mesh that is easily to be combined with animation model and make contribution to the completeness of the end-to-end pipeline.Our network can properly predict 3D garment meshes according to various garment styles. Unlike some of the existing approaches that require complex inputs, our model works with 2D garment images or masks that are easily accessible. Unsupervised learning is implemented during training, making the data collection much easier as no labelling is required. We have successfully combined our model with existing 3D animation model. Now the network can directly work from 2D images instead of 3D garment information.

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GAN-Based Garment Generation Using Sewing Pattern Images

Shen

Liang

2020

Lecture Notes in Computer Science

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Automatic Realistic 3D Garment Generation Based on Two Images

Cited by 5 publications

References 9 publications

Machine learning for digital try-on: Challenges and progress

Machine learning for digital try-on: Challenges and progress

Garment mesh reconstruction and animation

GAN-Based Garment Generation Using Sewing Pattern Images

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