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Matiur Rahman Minar - IEEE Xplore Author Profile
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Matiur Rahman Minar

Publications
2
Citations
23
Publications by Year
20212021
Co-Authors:
Image of author Matiur Rahman Minar

Matiur Rahman Minar

Affiliation

Department of Electrical and Information Engineering
Seoul National University of Science and Technology
Seoul, South Korea

Publication Topics

Biography

Matiur Rahman Minar received the B.Sc. degree in computer science and engineering (CSE) from Bangladesh University of Engineering and Technology (BUET), in 2015, and the master’s degree from the Department of Electrical and Information Engineering (EIE), Seoul National University of Science and Technology (Seoul- Tech). He is currently an AI Engineer at NetTargets Inc., South Korea. He also worked as a Framework Architect at Automation Solutionz Inc. His research interests include computer vision, machine learning, and computer graphics.(Based on document published on 12 August 2021).
Publications
2
Citations
23
Publications by Year
20212021
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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