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20242026
most citedDiaMoE-TTS: A Unified IPA-Based Dialect TTS Framework with Mixture-of-Experts and Parameter-Efficient Zero-Shot Adaptation

1 citations · 2 across the 21 of their papers we have counts for

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cs.CV2025

YingVideo-MV: Music-Driven Multi-Stage Video Generation

Jiahui Chen, Weida Wang, Runhua Shi +3

While diffusion model for audio-driven avatar video generation have achieved notable process in synthesizing long sequences with natural audio-visual synchronization and identity c…

cs.CV2025

DeepDubber-V1: Towards High Quality and Dialogue, Narration, Monologue Adaptive Movie Dubbing Via Multi-Modal Chain-of-Thoughts Reasoning Guidance

Junjie Zheng, Zihao Chen, Chaofan Ding +1

Current movie dubbing technology can generate the desired voice from a given speech prompt, ensuring good synchronization between speech and visuals while accurately conveying the…

cs.CV2025

DeepAudio-V1:Towards Multi-Modal Multi-Stage End-to-End Video to Speech and Audio Generation

Haomin Zhang, Chang Liu, Junjie Zheng +3

Currently, high-quality, synchronized audio is synthesized using various multi-modal joint learning frameworks, leveraging video and optional text inputs. In the video-to-audio ben…

cs.CV2025

Audio-driven Gesture Generation via Deviation Feature in the Latent Space

Jiahui Chen, Yang Huan, Runhua Shi +4

Gestures are essential for enhancing co-speech communication, offering visual emphasis and complementing verbal interactions. While prior work has concentrated on point-level motio…

cs.CV2024

Self-Supervised Learning of Deviation in Latent Representation for Co-speech Gesture Video Generation

Huan Yang, Jiahui Chen, Chaofan Ding +5

Gestures are pivotal in enhancing co-speech communication. While recent works have mostly focused on point-level motion transformation or fully supervised motion representations th…