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We address the problem of generating realistic 3D human-object interactions (HOIs) driven by textual prompts.
Semantic labeling of 3d point clouds with object affordance for robot manipulation
David Inkyu Kim and Gaurav S Sukhatme · 2014
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Interactive affordance map building for a robotic task
David Inkyu Kim and Gaurav S Sukhatme · 2015
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SMPL: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black · 2015
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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The kit motion-language dataset
Matthias Plappert, Christian Mandery, and Tamim Asfour · 2016
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Affordance detection for task-specific grasping using deep learning
Mia Kokic, Johannes A Stork, Joshua A Haustein, and Danica Kragic · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Neural state machine for character-scene interactions
Sebastian Starke, He Zhang, Taku Komura, and Jun Saito · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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3d affordancenet: A benchmark for visual object affordance understanding
Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, and Kui Jia · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Stochastic scene-aware motion prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, and Michael Black · 2021
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Affordance-based grasping point detection using graph convolutional networks for industrial bin-picking applications
Ander Iriondo, Elena Lazkano, and Ander Ansuategi · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Behave: Dataset and method for tracking human object interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya Petrov, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll · 2022
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Generating diverse and natural 3d human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
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Chairs: Towards full-body articulated human-object interaction
Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, and Siyuan Huang · 2022
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O2o-afford: Annotation-free large-scale object-object affordance learning
Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, and Leonidas Guibas · 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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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Cited alongside, same era.
Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H. Bermano · 2023
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Towards globally consistent stochastic human motion prediction via motion diffusion
Jiarui Sun and Girish Chowdhary · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-or, and Amit Haim Bermano · 2023
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Transfusion: A practical and effective transformer-based diffusion model for 3d human motion prediction
Sibo Tian, Minghui Zheng, and Xiao Liang · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Omid Taheri, Vasileios Choutas, Michael J. Black, and Dimitrios Tzionas · 2022
Cited alongside, same era.
Saga: Stochastic whole-body grasping with contact
Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, and Siyu Tang · 2022
Cited alongside, same era.
Can we use diffusion probabilistic models for 3d motion prediction?
Hyemin Ahn, Esteve Valls Mascaro, and Dongheui Lee · 2023
Cited alongside, same era.
Make-an-animation: Large-scale text-conditional 3d human motion generation
Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, and Sonal Gupta · 2023
Cited alongside, same era.
Belfusion: Latent diffusion for behavior-driven human motion prediction
German Barquero, Sergio Escalera, and Cristina Palmero · 2023
Cited alongside, same era.
Mofusion: A framework for denoising-diffusion-based motion synthesis
Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt · 2023
Cited alongside, same era.
Imos: Intent-driven full-body motion synthesis for human-object interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek · 2023
Cited alongside, same era.
Yinhuai Wang, Jing Lin, Ailing Zeng, Zhengyi Luo, Jian Zhang, and Lei Zhang · 2023
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Understanding text-driven motion synthesis with keyframe collaboration via diffusion models
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, and Jianfeng Lu · 2023
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Interdiff: Generating 3d human-object interactions with physics-informed diffusion
Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, and Liang-Yan Gui · 2023
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Synthesizing diverse human motions in 3d indoor scenes
Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, and Siyu Tang · 2023
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Interfusion: Text-driven generation of 3d human-object interaction
Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, and Ruizhen Hu · 2024
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Cg-hoi: Contact-guided 3d human-object interaction generation
Christian Diller and Angela Dai · 2024
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Intergen: Diffusion-based multi-human motion generation under complex interactions
Han Liang, Wenqian Zhang, Wenxuan Li, Jingyi Yu, and Lan Xu · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy Lillicrap, Jean-baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, et al · 2024
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Hoianimator: Generating text-prompt human-object animations using novel perceptive diffusion models
Wenfeng Song, Xinyu Zhang, Shuai Li, Yang Gao, Aimin Hao, Xia Hou, Chenglizhao Chen, Ning Li, and Hong Qin · 2024
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Gemma 2: Improving open language models at a practical size
Gemma Team, Morgane Riviere, Shreya Pathak, Pier Giuseppe Sessa, Cassidy Hardin, Surya Bhupatiraju, Léonard Hussenot, Thomas Mesnard, Bobak Shahriari, Alexandre Ramé, et al · 2024
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Omnicontrol: Control any joint at any time for human motion generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang · 2024
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Interdreamer: Zero-shot text to 3d dynamic human-object interaction
Sirui Xu, Ziyin Wang, Yu-Xiong Wang, and Liang-Yan Gui · 2024
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F-hoi: Toward fine-grained semantic-aligned 3d human-object interactions
Jie Yang, Xuesong Niu, Nan Jiang, Ruimao Zhang, and Siyuan Huang · 2024
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