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洞察 - MemFace Proposal for Talking Face Generation
MemFace: Alleviating One-to-Many Mapping in Talking Face Generation
MemFace proposes using implicit and explicit memories to alleviate the one-to-many mapping challenge in talking face generation, achieving state-of-the-art results.
Memories are Key to Enhancing Talking Face Generation Quality
提案されたMemFaceは、音声駆動の話し相生成において、メモリを活用して一対多のマッピング課題を軽減し、高品質な結果を実現します。
MemFace: Alleviating One-to-Many Mapping in Talking Face Generation
MemFace proposes an innovative approach to alleviate the one-to-many mapping challenge in talking face generation by incorporating implicit and explicit memories into the audio-to-expression and neural-rendering models, respectively.
