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20152023
most citedA Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

262 citations · 1.6k across the 58 of their papers we have counts for

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Showing 2021 · cs.CVShow all

8 papers · 2 filters

cs.CV2021★ 5 cited

Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning

Jianze Wei, Huaibo Huang, Muyi Sun +4

Iris segmentation is a deterministic part of the iris recognition system. Unreliable segmentation of iris regions especially the limbic area is still the bottleneck problem, which…

cs.CV2021

A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks

Muyi Sun, Jian Wang, Yunfan Liu +2

Biphasic facial age translation aims at predicting the appearance of the input face at any age. Facial age translation has received considerable research attention in the last deca…

cs.CV2021

An End-to-End Autofocus Camera for Iris on the Move

Leyuan Wang, Kunbo Zhang, Yunlong Wang +1

For distant iris recognition, a long focal length lens is generally used to ensure the resolution ofiris images, which reduces the depth of field and leads to potential defocus blu…

cs.CV2021★ 19 cited

DFGC 2021: A DeepFake Game Competition

Bo Peng, Hongxing Fan, Wei Wang +20

This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…

cs.CV2021★ 2 cited

CASIA-Face-Africa: A Large-scale African Face Image Database

Jawad Muhammad, Yunlong Wang, Caiyong Wang +2

Face recognition is a popular and well-studied area with wide applications in our society. However, racial bias had been proven to be inherent in most State Of The Art (SOTA) face…

cs.CV2021

One Shot Face Swapping on Megapixels

Yuhao Zhu, Qi Li, Jian Wang +2

Face swapping has both positive applications such as entertainment, human-computer interaction, etc., and negative applications such as DeepFake threats to politics, economics, etc…

cs.CV2021

ReMix: Towards Image-to-Image Translation with Limited Data

Jie Cao, Luanxuan Hou, Ming-Hsuan Yang +2

Image-to-image (I2I) translation methods based on generative adversarial networks (GANs) typically suffer from overfitting when limited training data is available. In this work, we…

cs.CV2021★ 11 cited

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

Hongwen Zhang, Yating Tian, Xinchi Zhou +4

Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images. By directly mapping raw pixels to model parameters, these metho…