most citedEDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects

Xintao Lv, Liang Xu, Yichao Yan +8

Generating human-object interactions (HOIs) is critical with the tremendous advances of digital avatars. Existing datasets are typically limited to humans interacting with a single…

eess.AS2024

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion

Ziqian Ning, Shuai Wang, Pengcheng Zhu +4

Streaming voice conversion has become increasingly popular for its potential in real-time applications. The recently proposed DualVC 2 has achieved robust and high-quality streamin…

cs.CV20241 cited

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis

Shuai Tan, Bin Ji, Mengxiao Bi +1

Achieving disentangled control over multiple facial motions and accommodating diverse input modalities greatly enhances the application and entertainment of the talking head genera…

eess.AS2023

Multi-GradSpeech: Towards Diffusion-based Multi-Speaker Text-to-speech Using Consistent Diffusion Models

Heyang Xue, Shuai Guo, Pengcheng Zhu +1

Despite imperfect score-matching causing drift in training and sampling distributions of diffusion models, recent advances in diffusion-based acoustic models have revolutionized da…

eess.AS2023

DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding

Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu +4

Voice conversion is an increasingly popular technology, and the growing number of real-time applications requires models with streaming conversion capabilities. Unlike typical (non…