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Home/Authors/Ye Pan

Ye Pan

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 5:45 AM AMS

6

papers

124

total citations

papers (6)

Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style

FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization

Say Anything with Any Style

FixTalk: Taming Identity Leakage for High-Quality Talking Head Generation in Extreme Cases

POMP: Physics-constrainable Motion Generative Model through Phase Manifolds

EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation