Avatar-Forever: Decoupled Parallel Training for High-Quality Real-Time Infinite Avatars
Avatar-Forever proposes a decoupled parallel training framework to create high-quality, real-time infinite interactive avatars. It separates training for generation efficiency (using distillation) from training for long-horizon robustness (using Recovery-oriented Rollout Training). This approach avoids conflicts between short-term quality and long-term stability, resulting in a model that maintains visual fidelity and motion coherence over extended video sequences.