Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

1 code implementation • 2 Dec 2023 • Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao

In this paper, we aim to tackle this problem with a unified framework consisting of an end-to-end trainable method and a planning algorithm.

Denoising Vision-Language Navigation

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

no code implementations • NeurIPS 2019 • Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

In this paper, we aim to understand the generalization properties of generative adversarial networks (GANs) from a new perspective of privacy protection.