Summary of Infinicube: Unbounded and Controllable Dynamic 3d Driving Scene Generation with World-guided Video Models, by Yifan Lu et al.
InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models
by Yifan Lu, Xuanchi Ren, Jiawei Yang, Tianchang Shen, Zhangjie Wu, Jun Gao, Yue Wang, Siheng Chen, Mike Chen, Sanja Fidler, Jiahui Huang
First submitted to arxiv on: 5 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A scalable method for generating unbounded dynamic 3D driving scenes with high fidelity and controllability is presented in InfiniCube. The approach leverages recent advancements in 3D representation and video models to achieve large-scale scene generation, allowing flexible controls through HD maps, vehicle bounding boxes, and text descriptions. A map-conditioned sparse-voxel-based generative model is constructed for unbounded voxel world generation, followed by a video model grounded on the voxel world using pixel-aligned guidance buffers. The approach employs both voxel and pixel branches to lift dynamic videos to dynamic 3D Gaussians with controllable objects. InfiniCube can generate realistic and controllable 3D driving scenes, as validated through extensive experiments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary InfiniCube is a new way to create really cool and realistic 3D driving scenes that can be controlled in many ways. This method uses special computer models to make it happen. It starts by creating a big map of the world, then fills it with tiny blocks called voxels. Next, it takes a video model and attaches it to these voxels using special guidance buffers. The result is a super-realistic 3D driving scene that can be controlled in many ways. This method was tested many times and showed great results. |
Keywords
» Artificial intelligence » Generative model
