mlsanityData to 14 Oct 2026

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

arXiv 2610.02160 ↗First posted 1 Oct 2026cs.CVcited by 0

On the map: World models → Video-generation world models and simulators

Abstract (arXiv)

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 introduce 4Director, a video world model conditioned on an explicit 4D scene representation: each object is reconstructed once from the input image as a canonical mesh and moved by one prescribed rigid transformation per frame. This representation provides an intuitive 3D control interface and prevents unobserved geometry from being regenerated independently in every frame. We render the controlled scene as a depth video and introduce a Motion Adapter that transforms this geometric scaffold into video while synthesizing view-consistent appearance, illumination, and non-rigid dynamics. For training, we construct RealCOD-Rigid, a new dataset of 20,774 clips annotated with rigid 3D scenes by our automatic pipeline. We further introduce Identity-Gated IoU (IG-IoU), which jointly evaluates adherence to prescribed object motion and preservation of object identity. Experiments demonstrate that 4Director consistently outperforms prior methods in visual quality and in camera and object control.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 122 of its 127 references that are in the map. First posted on arXiv 1 Oct 2026.

Builds on

122 of 127 references.

Closest ancestors · 19

Same direction, newest first

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  7. 2021Learning Transferable Visual Models From Natural Language Supervision26 Feb

Other references · 103

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  22. 2025Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrievalcited by 163
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  24. 2024VD3D: Taming Large Video Diffusion Transformers for 3D Camera Controlcited by 156
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  26. 2023UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretrainingcited by 151
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  28. 2020Adaptive Aggregation Networks for Class-Incremental Learningcited by 149
  29. 2024SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistencycited by 144
  30. 2024DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusioncited by 140
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  37. 2025VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memorycited by 109
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