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Found 3 papers, 1 papers with code
Efficient Text-driven Motion Generation via Latent Consistency Training
Motion diffusion models have recently proven successful for text-driven human motion generation.
PASTS: Progress-Aware Spatio-Temporal Transformer Speaker For Vision-and-Language Navigation
The experimental results demonstrate that PASTS outperforms all existing speaker models and successfully improves the performance of previous VLN models, achieving state-of-the-art performance on the standard Room-to-Room (R2R) dataset.
MLANet: Multi-Level Attention Network with Sub-instruction for Continuous Vision-and-Language Navigation
For a better performance in continuous VLN, we design a multi-level instruction understanding procedure and propose a novel model, Multi-Level Attention Network (MLANet).
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