activity
20172023
most citedOne-shot Face Reenactment

28 citations · 62 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2023★ 1 cited

Unified Pretraining Target Based Video-music Retrieval With Music Rhythm And Video Optical Flow Information

Tianjun Mao, Shansong Liu, Yunxuan Zhang +2

Background music (BGM) can enhance the video's emotion. However, selecting an appropriate BGM often requires domain knowledge. This has led to the development of video-music retrie…

cs.CV2019★ 28 cited

One-shot Face Reenactment

Yunxuan Zhang, Siwei Zhang, Yue He +3

To enable realistic shape (e.g. pose and expression) transfer, existing face reenactment methods rely on a set of target faces for learning subject-specific traits. However, in rea…

cs.CV2019★ 2 cited

CMR motion artifact correction using generative adversarial nets

Yunxuan Zhang, Weiliang Zhang, Qinyan Zhang +3

Cardiovascular Magnetic Resonance (CMR) plays an important role in the diagnoses and treatment of cardiovascular diseases while motion artifacts which are formed during the scannin…

cs.CV2018★ 18 cited

ReenactGAN: Learning to Reenact Faces via Boundary Transfer

Wayne Wu, Yunxuan Zhang, Cheng Li +2

We present a novel learning-based framework for face reenactment. The proposed method, known as ReenactGAN, is capable of transferring facial movements and expressions from monocul…

cs.CV2017★ 13 cited

Quantifying Facial Age by Posterior of Age Comparisons

Yunxuan Zhang, Li Liu, Cheng Li +1

We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels. Each posterior provides a probabili…