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20162026
most citedFaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

210 citations · 1.2k across the 58 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 21 cited

Face X-ray for More General Face Forgery Detection

Lingzhi Li, Jianmin Bao, Ting Zhang +4

In this paper we propose a novel image representation called face X-ray for detecting forgery in face images. The face X-ray of an input face image is a greyscale image that reveal…

cs.CV2019★ 210 cited

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Lingzhi Li, Jianmin Bao, Hao Yang +2

In this work, we propose a novel two-stage framework, called FaceShifter, for high fidelity and occlusion aware face swapping. Unlike many existing face swapping works that leverag…

cs.CV2019★ 10 cited

Deep Exemplar-based Video Colorization

Bo Zhang, Mingming He, Jing Liao +4

This paper presents the first end-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the refere…

cs.CV2019★ 6 cited

Face Parsing with RoI Tanh-Warping

Jinpeng Lin, Hao Yang, Dong Chen +3

Face parsing computes pixel-wise label maps for different semantic components (e.g., hair, mouth, eyes) from face images. Existing face parsing literature have illustrated signific…

cs.CV2019★ 9 cited

Mask-Guided Portrait Editing with Conditional GANs

Shuyang Gu, Jianmin Bao, Hao Yang +3

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial Network (GAN) advances the generating of realistic faces and allows more face editing. In th…

cs.CV2019★ 38 cited

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set

Yu Deng, Jiaolong Yang, Sicheng Xu +3

Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.However, training deep neural networks typically requires a…