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cs.CV2026
SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation
Mikhail Dereviannykh, Vikram Voleti, Simon Donne +3
Recent video-based world models pair the scalability of autoregressive (AR) prediction with the visual quality of diffusion models. The choice of scene tokenizer is paramount for t…
cs.CV2026
Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation
Jan-Niklas Dihlmann, Andreas Engelhardt, Simon Donne +2
Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over the space an object should occupy or avoid. In authoring, this…