Pawel Kozlowski - IEEE Xplore Author Profile
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Pawel Kozlowski

Also published under: Pawel Kozłowski, Paweł Kozłowski

Publications
4
Citations
34
Publications by Year
20152018
Co-Authors:
Image of author Pawel Kozlowski

Pawel Kozlowski

Also published under: Pawel Kozłowski, Paweł Kozłowski

Affiliation

Institute of Control
Poznan University of Technology
Poznan, Poland

Publication Topics

Biography

Paweł Kozłowski is currently working toward the master's degree in mechatronics with the AGH University of Science and Technology, Kraków, Poland.,He worked on the development of the control algorithm for bipedal running during his internship with the Institute of Robotics and Mechatronics, German Aerospace Centre (DLR), Wessling, Germany. His research interests include mechanics and digital signal processing.(Based on document published on 1 August 2016).
Publications
4
Citations
34
Publications by Year
20152018
Co-Authors:
Author's Published Works

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Multiple Pose Virtual Try-On Based on 3D Clothing Reconstruction

Thai Thanh Tuan;Matiur Rahman Minar;Heejune Ahn;John Wainwright

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (7)
Recently, image-based virtual try-on (VTON) systems using deep generative models have drawn significant research attention. However, the 2D clothing shape transform methods in the earlier works show serious limitations in 3D clothing deformation required in multiple-pose VTON scenarios. In this paper, we develop a 3D-MPVTON system of two pipelines and show that a 3D clothing model reconstruction a...Show More

Multiple Pose Virtual Try-On Based on 3D Clothing Reconstruction

Thai Thanh Tuan;Matiur Rahman Minar;Heejune Ahn;John Wainwright

Year: 2021 | Volume: 9 | Journal Article |

CloTH-VTON+: Clothing Three-Dimensional Reconstruction for Hybrid Image-Based Virtual Try-ON

Matiur Rahman Minar;Thai Thanh Tuan;Heejune Ahn

IEEE Access
Year: 2021 | Volume: 9 | Journal Article |
Cited by: Papers (16)
Image-based virtual try-on (VTON) systems based on deep learning have attracted research and commercial interests. Although they show their strengths in blending the person and try-on clothing image and synthesizing the dis-occluded regions, their results for complex-posed persons are often unsatisfactory due to the limitations in their geometry deformation and texture-preserving capacity. To addr...Show More

CloTH-VTON+: Clothing Three-Dimensional Reconstruction for Hybrid Image-Based Virtual Try-ON

Matiur Rahman Minar;Thai Thanh Tuan;Heejune Ahn

Year: 2021 | Volume: 9 | Journal Article |

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