ARDuP: Active Region Video Diffusion for Universal Policies

H. Pirsiavash and D. Ramanan, “Detecting activities of daily living in first-person camera views,” in

2012

Earlier work this paper cites.

M. L. Puterman,

2014

Earlier work this paper cites.

Y. Li, Z. Ye, and J. M. Rehg, “Delving into egocentric actions,” in

2015

Earlier work this paper cites.

D. Damen, T. Leelasawassuk, and W. Mayol-Cuevas, “You-do, i-learn: Egocentric unsupervised discovery of objects and their modes of interaction towards video-based guidance,”

2016

Earlier work this paper cites.

S. Huang, Q. Wang, S. Zhang, S. Yan, and X. He, “Dynamic context correspondence network for semantic alignment,” in

2019

Earlier work this paper cites.

C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu, “Exploring the limits of transfer learning with a unified text-to-text transformer,”

2020

Earlier work this paper cites.

A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark,

2021

Earlier work this paper cites.

P. Dhariwal and A. Nichol, “Diffusion models beat gans on image synthesis,”

2021

Earlier work this paper cites.

M. Janner, Q. Li, and S. Levine, “Offline reinforcement learning as one big sequence modeling problem,”

2021

Earlier work this paper cites.

A. Zeng, P. Florence, J. Tompson, S. Welker, J. Chien, M. Attarian, T. Armstrong, I. Krasin, D. Duong, V. Sindhwani,

2021

Earlier work this paper cites.

M. Shridhar, L. Manuelli, and D. Fox, “Cliport: What and where pathways for robotic manipulation,” in

2022

Cited alongside, same era.

A. Ajay, Y. Du, A. Gupta, J. Tenenbaum, T. Jaakkola, and P. Agrawal, “Is conditional generative modeling all you need for decision-making?”

Original

2022

Cited alongside, same era.

M. Janner, Y. Du, J. B. Tenenbaum, and S. Levine, “Planning with diffusion for flexible behavior synthesis,”

Original

2022

Cited alongside, same era.

S. Huang, L. Yang, B. He, S. Zhang, X. He, and A. Shrivastava, “Learning semantic correspondence with sparse annotations,” in

2022

Cited alongside, same era.

R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, “High-resolution image synthesis with latent diffusion models,” in

2022

Cited alongside, same era.

H. R. Walke, K. Black, T. Z. Zhao, Q. Vuong, C. Zheng, P. Hansen-Estruch, A. W. He, V. Myers, M. J. Kim, M. Du,

2023

Later among the works it cites.

P.-C. Ko, J. Mao, Y. Du, S.-H. Sun, and J. B. Tenenbaum, “Learning to act from actionless videos through dense correspondences,”

Original

2023

Later among the works it cites.

B. He, X. Yang, H. Wang, Z. Wu, H. Chen, S. Huang, Y. Ren, S.-N. Lim, and A. Shrivastava, “Towards scalable neural representation for diverse videos,” in

2023

Later among the works it cites.

Y. Du, S. Yang, P. Florence, F. Xia, A. Wahid, brian ichter, P. Sermanet, T. Yu, P. Abbeel, J. B. Tenenbaum, L. P. Kaelbling, A. Zeng, and J. Tompson, “Video language planning,” in

2024

Closest in time.

A. Ajay, S. Han, Y. Du, S. Li, A. Gupta, T. Jaakkola, J. Tenenbaum, L. Kaelbling, A. Srivastava, and P. Agrawal, “Compositional foundation models for hierarchical planning,”