Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining

ArXi:2604.02320v1 Announce Type: new High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans with precise control over expressions and poses, but it struggles to generalize to real-world data due to limited scale and the domain gap between the studio environment and the real world.