Search Results for author: H. Nguyen-Xuan

Found 3 papers, 2 papers with code

Advancing Wound Filling Extraction on 3D Faces: Auto-Segmentation and Wound Face Regeneration Approach

1 code implementation4 Jul 2023 Duong Q. Nguyen, Thinh D. Le, Phuong D. Nguyen, Nga T. K. Le, H. Nguyen-Xuan

Facial wound segmentation plays a crucial role in preoperative planning and optimizing patient outcomes in various medical applications.

Segmentation

Application of Self-Supervised Learning to MICA Model for Reconstructing Imperfect 3D Facial Structures

no code implementations8 Apr 2023 Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen, Binh Nguyen, H. Nguyen-Xuan

In this study, we emphasize the integration of a pre-trained MICA model with an imperfect face dataset, employing a self-supervised learning approach.

Self-Supervised Learning

3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes

1 code implementation25 Mar 2023 Phuong D. Nguyen, Thinh D. Le, Duong Q. Nguyen, Thanh Q. Nguyen, Li-Wei Chou, H. Nguyen-Xuan

This study explores the potential of a fully convolutional mesh autoencoder model for regenerating 3D nature faces with the presence of imperfect areas.

Face Reconstruction

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