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Disentangled representation transformer network for 3D face reconstruction and robust dense alignment
This paper proposes a disentangled representation transformer network (DRTN) for 3D dense face alignment and reconstruction. Unlike traditional...
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Towards reduced dependency and faster unsupervised 3D face reconstruction
Recent monocular 3D face reconstruction methods demonstrate performance improvement regarding 3D face geometry retrieval. However, these methods pose...
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3D face recognition algorithm based on nose tip contour and radial curve
Human expression variations will cause non-rigid deformation of face scans, this is a challenge in face recognition research. Many rigid registration...
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Learning Collaborative Reinforcement Attention for 3D Face Reconstruction and Dense Alignment
3D face reconstruction from monocular outdoor images has long been a challenging problem. Traditional attention network methods that directly regress...
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Multi-pose face reconstruction and Gabor-based dictionary learning for face recognition
Many methods based on data and model analysis have been proposed to overcome the adverse effect of poses, occlusion, and illumination on face...
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Generative Landmarks Guided Eyeglasses Removal 3D Face Reconstruction
Single-view 3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the input is...
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3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative...
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3D Object Reconstruction with Deep Learning
Recent advancements and breakthroughs in deep learning have accelerated the rapid development in the field of computer vision. Having recorded a huge...
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3D corrective nose reconstruction from a single image
There is a steadily growing range of applications that can benefit from facial reconstruction techniques, leading to an increasing demand for...
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CLN: Complementary Learning Network for 3D Face Reconstruction and Alignment
In the complex and changeable unconstrained state, the 3D Morphable Model (3DMM) parameters regression methods lack the ability to express local...
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68 landmarks are efficient for 3D face alignment: what about more?
This paper proposes a 3D face alignment of 2D face images in the wild with noisy landmarks. The objective is to recognize individuals from their...
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An adaptive interpolation and 3D reconstruction algorithm for underwater images
3D reconstruction technology is gradually applied to underwater scenes, which has become a crucial research direction for human ocean exploration and...
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A systematic literature review of generative adversarial networks (GANs) in 3D avatar reconstruction from 2D images
The rapid advancement of machine learning and computer vision has paved the way for significant processes in 3D avatar reconstruction from 2D images....
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A two-phase approach for expression invariant 3D face recognition using fine-tuned VGG-16 and 3D-SIFT descriptors
Expression invariant 3D face recognition systems have many computer vision applications such as human-computer interaction. Most 3D face recognition...
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Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
Real-world face recognition systems are vulnerable to diverse face attacks, ranging from digitally manipulated artifacts to physically crafted...
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3D Face Reconstruction with Geometry Details from a Single Color Image Under Occluded Scenes
3D face reconstruction technology aims to generate a face stereo model naturally and realistically. Previous deep face reconstruction approaches are...
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Recent Progress on Face Presentation Attack Detection of 3D Mask Attack
With the development of 3D reconstruction and 3D printing technologies, customizing super-real 3D facial mask at an affordable cost becomes feasible,...
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Mining Temporal Inconsistency with 3D Face Model for Deepfake Video Detection
Recently, the abuse of face swap** technique including Deepfakes has garnered widespread attention. Facial manipulation techniques arise serious...
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Coarse-to-fine cascaded 3D hand reconstruction based on SSGC and MHSA
Recently, graph convolution networks have become the mainstream methods in 3D hand pose and mesh estimation, but there are still some issues...
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Enhanced 3D reconstruction with all-neighbor-first philosophy and Ricci flow-based mesh smoothing approach
The process of 3D reconstruction involves stacking 2D scans of medical images to create a mesh of vertices and edges with volumetric details about...
