most citedCan Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2024

Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction

Guowei Xu, Jiale Tao, Wen Li +1

In the realm of stochastic human motion prediction (SHMP), researchers have often turned to generative models like GANS, VAEs and diffusion models. However, most previous approache…

cs.RO2023★ 1 cited

Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?

Jialu Gao, Kaizhe Hu, Guowei Xu +1

Pre-trained text-to-image generative models can produce diverse, semantically rich, and realistic images from natural language descriptions. Compared with language, images usually…