423 citations · 1.2k across the 10 of their papers we have counts for
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RetinaFace: Single-stage Dense Face Localisation in the Wild
Jiankang Deng, Jia Guo, Yuxiang Zhou +3
Though tremendous strides have been made in uncontrolled face detection, accurate and efficient face localisation in the wild remains an open challenge. This paper presents a robus…
Dense 3D Face Decoding over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders
Yuxiang Zhou, Jiankang Deng, Irene Kotsia +1
3D Morphable Models (3DMMs) are statistical models that represent facial texture and shape variations using a set of linear bases and more particular Principal Component Analysis (…
MeshGAN: Non-linear 3D Morphable Models of Faces
Shiyang Cheng, Michael Bronstein, Yuxiang Zhou +3
Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and training methods have demonstrated exceptional p…
GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia +1
In the past few years, a lot of work has been done towards reconstructing the 3D facial structure from single images by capitalizing on the power of Deep Convolutional Neural Netwo…