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CVPR2025Top-tier venue

AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation

Zeyi Xu, Jinfan Liu, Kuangxu Chen, Ye Chen, Zhangli Hu, Bingbing Ni

2025Year
1Top-tier citations

Abstract

Figure 1. AMR tokenizer results in high-resolution simulation. Visualization of the AMR tokenizer applied to 1024 × 1024 shock wave and explosion simulations. The AMR tokenizer captures fine-scale structures while reducing token count. Right panels compare the regular 512 × 512 grid with the AMR partitioning, each right panel displays the total cell count and partitioning scheme (bottom-right), along with the mean squared error (MSE) relative to the 1024 × 1024 ground truth (top-left).

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