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🚀🎭🌟 New Research Alert - AniTalker (Avatars Collection)! 🌟🎭🚀
📄 Title: AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding 🔝
📝 Description: AniTalker is a new framework that transforms a single static portrait and a single input audio file into animated, talking videos with natural, fluid movements.
👥 Authors: Tao Liu, Feilong Chen, Shuai Fan, @cpdu, Qi Chen, Xie Chen, and Kai Yu
📄 Paper: https://huggingface.co/papers/2405.03121
🌐 Github Page: https://x-lance.github.io/AniTalker
📁 Repository: https://github.com/X-LANCE/AniTalker
📚 More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
🚀 Added to the Avatars Collection: https://huggingface.co/collections/DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
🔍 Keywords: #AniTalker #FacialAnimation #DynamicAvatars #FaceSynthesis #TalkingFaces #DiffusionModel #ComputerGraphics #DeepLearning #ComputerVision #InnovationOrganizations
