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SceneTok: A Compressed, Diffusable Token Space for 3D Scenes
π€AI Summary
SceneTok introduces a novel 3D scene tokenizer that compresses view sets into permutation-invariant tokens, achieving 1-3 orders of magnitude better compression than existing methods while maintaining state-of-the-art reconstruction quality. The system enables efficient 3D scene generation in 5 seconds using a lightweight decoder that can render novel viewpoints.
Key Takeaways
- βSceneTok encodes 3D scenes into compressed, unstructured tokens that are disentangled from spatial grids.
- βThe compression achieves 1-3 orders of magnitude improvement over existing 3D scene representations.
- βThe system maintains state-of-the-art reconstruction quality despite heavy compression.
- βNovel view rendering is possible from trajectories that deviate from input trajectories.
- β3D scene generation completes in 5 seconds with superior quality-speed trade-offs.
#3d-scenes#tokenization#compression#diffusion-models#computer-vision#neural-networks#scene-generation#arxiv-research
Read Original βvia arXiv β CS AI
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