1 citations · 1 across the 6 of their papers we have counts for
6 papers
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Haojie Zhang, Di Wu, Bingyan Liu +5
While video foundation models excel at single-shot generation, real-world cinematic storytelling inherently relies on complex multi-shot sequencing. Further progress is constrained…
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…
SyncVoice: Simple and Effective Automatic Video Dubbing with Vision-Augmented TTS
Kaidi Wang, Yi He, Wenhao Guan +9
Automatic video dubbing aims to generate high-fidelity speech that is temporally aligned with visual content. However, existing methods still suffer from limited speech naturalness…
DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching
Yuepeng Jiang, Huakang Chen, Ziqian Ning +7
Generating full-length, high-quality songs is challenging, as it requires maintaining long-term coherence both across text and music modalities and within the music modality itself…
Virbo: Multimodal Multilingual Avatar Video Generation in Digital Marketing
Juan Zhang, Jiahao Chen, Cheng Wang +4
With the widespread popularity of internet celebrity marketing all over the world, short video production has gradually become a popular way of presenting products information. How…
G4G:A Generic Framework for High Fidelity Talking Face Generation with Fine-grained Intra-modal Alignment
Juan Zhang, Jiahao Chen, Cheng Wang +3
Despite numerous completed studies, achieving high fidelity talking face generation with highly synchronized lip movements corresponding to arbitrary audio remains a significant ch…