Reproduce “ComplexSync: High-Fidelity and Real-Time Lip Sync in Complex Scenarios” on OpenResearch

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About this paper

Jiaran Cai, Xingpei Ma, Shenneng Huang

ComplexSync edits mouth movements to match speech while preserving identity and scene appearance, including under occlusion and changing lighting. It separates synchronization and fidelity learning, fuses their weights, aligns scene features, and distills generation to one denoising step. On ComplexSync-Val, it reports Occ-RC 95.20 versus DINet’s 57.74 and 72.73 FPS; these benchmark and throughput results do not guarantee universal performance.

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