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Shengyi He

5 accepted papers

2025

AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion Transformers

CVPR 2025poster

Despite the recent progress of audio-driven video generation, existing methods mostly focus on driving facial movements, leading to non-coherent head and body dynamics. Moving forward, it is desirable yet challenging to generate holistic human videos with both accurate lip-sync and delicate co-speec…

Cited by 0SourcePDFScholar
2025

GestureHYDRA: Semantic Co-speech Gesture Synthesis via Hybrid Modality Diffusion Transformer and Cascaded-Synchronized Retrieval-Augmented Generation

ICCV 2025poster

While increasing attention has been paid to co-speech gesture synthesis, most previous works neglect to investigate hand gestures with explicit and essential semantics. In this paper, we study co-speech gesture generation with an emphasis on specific hand gesture activation, which can deliver more i…

Cited by 0SourcePDFScholar
2025

RQTalker: Speech-driven 3D Facial Animation via Region-aware Vector Quantization

ICASSP 2025accepted

Speech-driven 3D facial animation has been a long-standing topic due to the complex geometry and motion modeling as well as difficulties in cross-modality learning. Current studies struggle to synthesize human-like lip motions, as they usually represent the movement of the entire face with a compres…

Cited by 0SourceScholar
2024

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

ECCV 2024oral

"Lip-syncing videos with given audio is the foundation for various applications including the creation of virtual presenters or performers. While recent studies explore high-fidelity lip-sync with different techniques, their task-orientated models either require long-term videos for clip-specific tr…

Cited by 4SourcePDFScholar
2021

Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems

AISTATS 2021poster

Evaluating the reliability of intelligent physical systems against rare safety-critical events poses a huge testing burden for real-world applications. Simulation provides a useful platform to evaluate the extremal risks of these systems before their deployments. Importance Sampling (IS), while prov…