OmniAvatar’s Metrics & Training: Under the Hood of Next-Gen Avatars
The magic behind OmniAvatar isn’t just in its motion—it’s in the meticulous training pipeline and rigorous evaluation metrics that power its realism. Here’s a closer look at how the model was built and validated. Training Data: Curated, Filtered, and Massive OmniAvatar trains on a carefully filtered subset of the AVSpeech dataset (Ephrat et al., 2018), a publicly available corpus with over 4,700 hours of speech-aligned video. To ensure lip-sync precision and high visual quality: ...