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20192023
most citedTowards Realistic Visual Dubbing with Heterogeneous Sources

34 citations · 121 across the 23 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model

Longbin Ji, Pengfei Wei, Yi Ren +3

Co-speech gesture generation is crucial for automatic digital avatar animation. However, existing methods suffer from issues such as unstable training and temporal inconsistency, p…

cs.CV2023

Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis

Zhenhui Ye, Ziyue Jiang, Yi Ren +5

We are interested in a novel task, namely low-resource text-to-talking avatar. Given only a few-minute-long talking person video with the audio track as the training data and arbit…

cs.CV2023★ 5 cited

GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation

Zhenhui Ye, Jinzheng He, Ziyue Jiang +7

Generating talking person portraits with arbitrary speech audio is a crucial problem in the field of digital human and metaverse. A modern talking face generation method is expecte…

cs.CV2022★ 34 cited

Towards Realistic Visual Dubbing with Heterogeneous Sources

Tianyi Xie, Liucheng Liao, Cheng Bi +7

The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video. Albeit moderate improvements in current appro…

cs.CV2021

Towards Using Clothes Style Transfer for Scenario-aware Person Video Generation

Jingning Xu, Benlai Tang, Mingjie Wang +4

Clothes style transfer for person video generation is a challenging task, due to drastic variations of intra-person appearance and video scenarios. To tackle this problem, most rec…