RAVATAR is the leading provider of high-quality, real-time 3D avatars designed using cutting-edge Generative AI and Conversational AI technologies. Capable of replicating human appearance and behavior, these avatars offer versatility for a broad spectrum of applications, catering to both personal and professional needs. With RAVATAR, you can unlock the full potential of your enterprise, harnessing the power of digital humans.
RAVATAR's technology leverages synthetic data to recreate any human being in virtual reality using existing audio and video samples as a reference. This allows our avatars to perfectly reproduce known people in a digital realm, animate digital assistants, and create entirely new avatars.
RAVATAR's avatars offer multifaceted benefits for businesses. They help in improving customer-facing interactions in sales, support, and brand representation, replicate publicly known people to host virtual events or live TV shows, and provide the next level of interaction using holographic avatars. With the ability to clone yourself to be present at various places at the same time and speak natively in all major languages, you can free up your time for growth and personal development.
RAVATAR empowers businesses to outpace competitors by boosting user engagement, enhancing operational efficiency, cutting staff costs, and uncovering insights into customer behaviors and preferences. AI avatars enable companies to identify new opportunities, refine pricing strategies, amplify marketing and sales initiatives, and streamline processes.
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Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: over 1 year ago
You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago
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