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A unified definition of world models could catalyze breakthroughs across AI subfields by clarifying what these internal simulators should predict and how they should be constructed.
Diffusion models can now handle arbitrary, unordered sparse inputs for 3D reconstruction, achieving robust and scalable performance across irregular viewpoints and long trajectories.
