28 citations · 48 across the 8 of their papers we have counts for
8 papers
Lets Play Music: Audio-driven Performance Video Generation
Hao Zhu, Yi Li, Feixia Zhu +2
We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music aud…
Cosmetic-Aware Makeup Cleanser
Yi Li, Huaibo Huang, Junchi Yu +2
Face verification aims at determining whether a pair of face images belongs to the same identity. Recent studies have revealed the negative impact of facial makeup on the verificat…
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao, Huaibo Huang, Yi Li +2
The performance of multi-domain image-to-image translation has been significantly improved by recent progress in deep generative models. Existing approaches can use a unified model…
Exploiting Style and Attention in Real-World Super-Resolution
Xin Ma, Yi Li, Huaibo Huang +2
Real-world image super-resolution (SR) is a challenging image translation problem. Low-resolution (LR) images are often generated by various unknown transformations rather than by…
Cross-Spectral Face Hallucination via Disentangling Independent Factors
Boyan Duan, Chaoyou Fu, Yi Li +2
The cross-sensor gap is one of the challenges that have aroused much research interests in Heterogeneous Face Recognition (HFR). Although recent methods have attempted to fill the…
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Jie Cao, Huaibo Huang, Yi Li +3
Despite that the performance of image-to-image translation has been significantly improved by recent progress in generative models, current methods still suffer from severe degrada…
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
Hao Zhu, Huaibo Huang, Yi Li +2
Talking face generation aims to synthesize a face video with precise lip synchronization as well as a smooth transition of facial motion over the entire video via the given speech…
Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification
Yi Li, Lingxiao Song, Xiang Wu +2
Makeup is widely used to improve facial attractiveness and is well accepted by the public. However, different makeup styles will result in significant facial appearance changes. It…