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Visual imitation learning methods demonstrate strong performance, yet they lack generalization when faced with visual input perturbations, including variations in lighting and textures, impeding their real-world application.
Algorithms for inverse reinforcement learning
Andrew Y. Ng and Stuart Russell · 2000
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View from the top: Hierarchies and reverse hierarchies in the visual system
Shaul Hochstein and Merav Ahissar · 2002
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Denoising diffusion implicit models, 2022
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2010
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A reduction of imitation learning and structured prediction to no-regret online learning, 2011
Stephane Ross, Geoffrey J. Gordon, and J. Andrew Bagnell · 2011
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Generative adversarial imitation learning, 2016
Jonathan Ho and Stefano Ermon · 2016
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Attention is all you need
A Vaswani · 2017
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mixup: Beyond empirical risk minimization, 2018
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz · 2018
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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SAPIEN: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
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Domain-robust visual imitation learning with mutual information constraints, 2021
Edoardo Cetin and Oya Celiktutan · 2021
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Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Spectrum random masking for generalization in image-based reinforcement learning
Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, and Yonghong Tian · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric A. Cousineau, Benjamin Burchfiel, and Shuran Song · 2023
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Maniskill2: A unified benchmark for generalizable manipulation skills
Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiaing Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, and Hao Su · 2023
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Reversion: Diffusion-based relation inversion from images
Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin CK Chan, and Ziwei Liu · 2023
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Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
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Robust visual imitation learning with inverse dynamics representations, 2023
Learning fine-grained bimanual manipulation with low-cost hardware, 2023
Tony Z. Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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Extraneousness-aware imitation learning
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, and Huazhe Xu · 2023
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Ledits++: Limitless image editing using text-to-image models
Manuel Brack, Felix Friedrich, Katharia Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, and Apolinário Passos · 2024
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Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots
Cheng Chi, Zhenjia Xu, Chuer Pan, Eric Cousineau, Benjamin Burchfiel, Siyuan Feng, Russ Tedrake, and Shuran Song · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
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Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, and Zhe Ma · 2023
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Mimicgen: A data generation system for scalable robot learning using human demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen, Iretiayo Akinola, Yashraj Narang, Linxi Fan, Yuke Zhu, and Dieter Fox · 2023
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Negative-prompt inversion: Fast image inversion for editing with text-guided diffusion models, 2023
Daiki Miyake, Akihiro Iohara, Yu Saito, and Toshiyuki Tanaka · 2023
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Null-text inversion for editing real images using guided diffusion models
Ron Mokady, Amir Hertz, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2023
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Effective real image editing with accelerated iterative diffusion inversion, 2023
Zhihong Pan, Riccardo Gherardi, Xiufeng Xie, and Stephen Huang · 2023
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Plug-and-play diffusion features for text-driven image-to-image translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2023
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Semail: Eliminating distractors in visual imitation via separated models, 2023
Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, and De-Chuan Zhan · 2023
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Mimicplay: Long-horizon imitation learning by watching human play
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, and Anima Anandkumar · 2023
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Can pre-trained text-to-image models generate visual goals for reinforcement learning?
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Mix-spectrum for generalization in visual reinforcement learning
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Giuseppe Paolo, Jonas Gonzalez-Billandon, and Balázs Kégl · 2024
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Maniskill 3 (beta)
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Improving diffusion-based data augmentation with inversion spherical interpolation
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Exploring diffusion time-steps for unsupervised representation learning
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3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations
Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, and Huazhe Xu · 2024
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