[38] L. Metz, B. Poole, D. Pfau, and J. Sohl-Dickstein. Unrolled generative adversarial networks. arXiv preprint arXiv:1611.02163, 2016.
[39] K. Nguyen and H. Daume III. Help, anna! visual navigation with natural multimodal assistance via retrospective curiosity-encouraging imitation learning. arXiv preprint arXiv:1909.01871, 2019.
[40] A. Nichol, P. Dhariwal, A. Ramesh, P. Shyam, P. Mishkin, B. McGrew, I. Sutskever, and M. Chen. Glide: Towards photorealistic image generation and editing with text-guided diffusion models. arXiv preprint arXiv:2112.10741, 2021.
[41] A. Padmakumar, J. Thomason, A. Shrivastava, P. Lange, A. Narayan-Chen, S. Gella, R. Piramuthu, G. Tur, and D. Hakkani-Tur. Teach: Task-driven embodied agents that chat. In Proceedings of the AAAI Conference on Artificial Intelligence, pages 2017–2025, 2022.
[42] T. Park, M.-Y. Liu, T.-C. Wang, and J.-Y. Zhu. Semantic image synthesis with spatially-adaptive normalization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 2337-2346, 2019.
[43] Y. Qi, Q. Wu, P. Anderson, X. Wang, W. Y. Wang, C. Shen, and A. v. d. Hengel. Reverie: Remote embodied visual referring expression in real indoor environments. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 9982-9991, 2020.
[44] Y. Qiao, Y. Qi, Y. Hong, Z. Yu, P. Wang, and Q. Wu. Hop: history-and-order aware pre-training for vision-and-language navigation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 15418-15427, 2022.
[45] A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al. Learning transferable visual models from natural language supervision. In International conference on machine learning, pages 8748-8763. PMLR, 2021.
[46] S. K. Ramakrishnan, A. Gokaslan, E. Wijmans, O. Maksymets, A. Clegg, J. M. Turner, E. Undersander, W. Galuba, A. Westbury, A. X. Chang, M. Savva, Y. Zhao, and D. Batra. Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), 2021. URL https://openreview.net/forum?id=-v40uqNs5P.
[47] R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer. High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 10684-10695, June 2022.
[48] C. Sahara, W. Chan, S. Saxena, L. Li, J. Whang, E. L. Denton, K. Ghasemipour, R. Gontijo Lopes, B. Karagol Ayan, T. Salimans, et al. Photorealistic text-to-image diffusion models with deep language understanding. Advances in Neural Information Processing Systems, 35:36479-36494, 2022.
[49] M. Shridhar, J. Thomason, D. Gordon, Y. Bisk, W. Han, R. Mottaghi, L. Zettlemoyer, and D. Fox. Alfred: A benchmark for interpreting grounded instructions for everyday tasks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 10740-10749, 2020.
[50] L. Song, L. Cao, H. Xu, K. Kang, F. Tang, J. Yuan, and Y. Zhao. Roomdreamer: Text-driven 3d indoor scene synthesis with coherent geometry and texture. arXiv preprint arXiv:2305.11337, 2023.
[51] H. Tan, L. Yu, and M. Bansal. Learning to navigate unseen environments: Back translation with environmental dropout. arXiv preprint arXiv:1904.04195, 2019.
[52] J. Thomason, M. Murray, M. Cakmak, and L. Zettlemoyer. Vision-and-dialog navigation. In Conference on Robot Learning, pages 394-406. PMLR, 2020.
[53] H. Wang, W. Wang, W. Liang, C. Xiong, and J. Shen. Structured scene memory for vision-language navigation. In Proceedings of the IEEE/CVF conference on Computer Vision and Pattern Recognition, pages 8455-8464, 2021.
[54] S. Wang, C. Montgomery, J. Orbay, V. Birodkar, A. Faust, I. Gur, N. Jaques, A. Waters, J. Baldridge, and P. Anderson. Less is more: Generating grounded navigation instructions from landmarks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 15428-15438, 2022.
[55] X. Wang, Q. Huang, A. Celikyilmaz, J. Gao, D. Shen, Y.-F. Wang, W. Y. Wang, and L. Zhang. Reinforced cross-modal matching and self-supervised imitation learning for vision-language navigation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 6629-6638, 2019.