This paper proposes a method for generating infinite, interactive 3D worlds in real-time, using a compact 3D memory that stores scene information efficiently. Practitioners might care about this research if they need to generate realistic, interactive environments for applications like virtual reality or video games.
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This paper proposes a new attention mechanism for video diffusion transformers that reduces the computational cost of inference by selectively computing attention only on key/value blocks. It improves the accuracy of attention at high sparsity levels, leading to faster inference times and better video quality.