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LingBot-VA 2.0 achieves few-shot generalization in complex robot manipulation tasks, outperforming traditional video generative models.
DriftST achieves one-step generative inference of gene expression from H&E images, outperforming traditional methods that struggle with inter-gene dependencies and resolution flexibility.
LAGO Policy achieves smooth, collision-free manipulation by seamlessly integrating trajectory optimization with advanced diffusion techniques, setting a new standard for real-world robotic execution.
Semantic visual-action tokenization in RepWAM significantly enhances robotic manipulation performance, outperforming traditional reconstruction-based approaches.
