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Unlock controllable video generation by disentangling appearance from semantics within self-supervised DINO features, enabling robust video domain transfer and video-from-3D generation.
Stop avatars from looking like they're having a seizure: this method uses autoregressive prediction of appearance latents to create temporally stable and high-fidelity 3D Gaussian avatars.
Unlock 4-15% faster Gaussian Splatting without retraining your existing datasets by swapping in a polynomial kernel.