51 citations · 306 across the 39 of their papers we have counts for
7 papers · 2 filters
MoCaNet: Motion Retargeting in-the-wild via Canonicalization Networks
Wentao Zhu, Zhuoqian Yang, Ziang Di +3
We present a novel framework that brings the 3D motion retargeting task from controlled environments to in-the-wild scenarios. In particular, our method is capable of retargeting b…
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
Jiaqi Tang, Zhaoyang Liu, Chen Qian +2
Generic event boundary detection is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event boundaries.…
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang, Bo Dai, Wayne Wu +1
Generative adversarial networks (GANs) typically require ample data for training in order to synthesize high-fidelity images. Recent studies have shown that training GANs with limi…
Audio-Driven Emotional Video Portraits
Xinya Ji, Hang Zhou, Kaisiyuan Wang +4
Despite previous success in generating audio-driven talking heads, most of the previous studies focus on the correlation between speech content and the mouth shape. Facial emotion,…
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
Hang Zhou, Yasheng Sun, Wayne Wu +3
While accurate lip synchronization has been achieved for arbitrary-subject audio-driven talking face generation, the problem of how to efficiently drive the head pose remains. Prev…
Everything's Talkin': Pareidolia Face Reenactment
Linsen Song, Wayne Wu, Chaoyou Fu +3
We present a new application direction named Pareidolia Face Reenactment, which is defined as animating a static illusory face to move in tandem with a human face in the video. For…