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Dec 29, 2023 · We propose a framework named Adaptive Aggregation Network (ADANet) to investigate the subtle correlations among multiple images for 3D face reconstruction.
Apr 9, 2020 · In this paper, we propose to learn 3D face aggregation from multiple images, also in an unsupervised fashion. We train a simple auxiliary ...
Multi-image 3D Face Reconstruction via an Adaptive Aggregation Network ... Authors: Xiaoyu Chai; Jun Chen; Dongshu Xu; Hongdou Yao; Zheng Wang; Chia-Wen Lin. List ...
... face model reconstructing from its 2D images using neural networks ... [QualityMeasures] Automated 3D Face Reconstruction From Multiple Images Using Quality ...
Image-based 3D face reconstruction has great potential in different areas, such as facial recognition, facial analysis, and facial animation.
Multi-image 3D Face Reconstruction via an Adaptive Aggregation Network. Chapter. Dec 2023. Xiaoyu Chai · Jun Chen · Dongshu Xu ...
To tackle this problem, we propose a framework named Adaptive Aggregation Network (ADANet) to investigate the subtle correlations among multiple images for 3D ...
This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods.
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Recovering detailed facial geometry from a set of calibrated multi-view images is valuable for its wide range of applica- tions. Traditional multi-view ...
Non-parametric face modeling aims to reconstruct 3D face only from images without shape assumptions. While plausible facial details are predicted, ...