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Preprint Oct 2026

4Director: Controlling Video World Models with Rigid 3D Geometry

Precise control over camera and object motion is essential for professional video production. Existing methods control objects only coarsely, through image-plane cues that are ambiguous in depth and rotation or through 3D tracks and blobs that lack complete geometry and lose consistency across viewpoint changes. We int...

Wei Cao, Hao Zhang, Vikram Voleti et al. · 1 citation
#machine learning Preprint Sep 2026

SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation

SemanTok is introduced, a flexible video tokenizer that feeds frozen DINO features into its encoder and adds lightweight heads that reconstruct them from each retained token prefix alone, and performs well in both reconstruction and generation.

Mikhail Dereviannykh, Vikram Voleti, Simon Donné et al. · 0 citations

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