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Sunix Liu
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Vision Language Models (Better, faster, stronger)
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Vision Language Models (Better, faster, stronger)
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Dear HF Community!
Our company open-sourced machine translation models for 12 rare languages under MIT license.
You can use them freely with OpenNMT translation framework. Each model is about 110 mb and has an excellent performance, ( about 40000 characters / s on Nvidia RTX 3090 )
Download models there
@lingvanex
You can test translation quality there:
https://lingvanex.com/translate/
Our company open-sourced machine translation models for 12 rare languages under MIT license.
You can use them freely with OpenNMT translation framework. Each model is about 110 mb and has an excellent performance, ( about 40000 characters / s on Nvidia RTX 3090 )
Download models there
@lingvanex
You can test translation quality there:
https://lingvanex.com/translate/
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#2 opened 10 months ago
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abdelazizEl7or
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1405
๐๐ญ๐ New Research Alert - AniTalker (Avatars Collection)! ๐๐ญ๐
๐ Title: AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding ๐
๐ 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.
๐ฅ Authors: Tao Liu, Feilong Chen, Shuai Fan, @cpdu , Qi Chen, Xie Chen, and Kai Yu
๐ Paper: AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding (2405.03121)
๐ Github Page: https://x-lance.github.io/AniTalker
๐ Repository: https://github.com/X-LANCE/AniTalker
๐ More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
๐ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
๐ Keywords: #AniTalker #FacialAnimation #DynamicAvatars #FaceSynthesis #TalkingFaces #DiffusionModel #ComputerGraphics #DeepLearning #ComputerVision #Innovation
๐ Title: AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding ๐
๐ 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.
๐ฅ Authors: Tao Liu, Feilong Chen, Shuai Fan, @cpdu , Qi Chen, Xie Chen, and Kai Yu
๐ Paper: AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding (2405.03121)
๐ Github Page: https://x-lance.github.io/AniTalker
๐ Repository: https://github.com/X-LANCE/AniTalker
๐ More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin
๐ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36
๐ Keywords: #AniTalker #FacialAnimation #DynamicAvatars #FaceSynthesis #TalkingFaces #DiffusionModel #ComputerGraphics #DeepLearning #ComputerVision #Innovation
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What is the difference between rank128 and rank256 ?
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#14 opened over 2 years ago
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