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In this work, we propose TextIM, a novel framework for synthesizing TEXT-driven human Interactive Motions, with a focus on the precise alignment of part-level semantics.
The kit motion-language dataset
Plappert M., Mandery C., Asfour T · 2016
Earlier work this paper cites.
A large-scale rgb-d database for arbitrary-view human action recognition
Ji Y., Xu F., Yang Y., Shen F., Shen H. T., Zheng W.-S · 2018
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Ntu rgb+ d 120: A large-scale benchmark for 3d human activity understanding
Liu J., Shahroudy A., Perez M., Wang G., Duan L.-Y., Kot A. C · 2019
Earlier work this paper cites.
Structure-aware human-action generation
Yu P., Zhao Y., Li C., Yuan J., Chen C · 2020
Earlier work this paper cites.
Evaluating large language models trained on code
Chen M., Tworek J., Jun H., Yuan Q., Pinto H. P. d. O., Kaplan J., Edwards H., Burda Y., Joseph N., Brockman G., et al · 2021
Earlier work this paper cites.
Stochastic scene-aware motion prediction
Hassan M., Ceylan D., Villegas R., Saito J., Yang J., Zhou Y., Black M. J · 2021
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Action-conditioned 3d human motion synthesis with transformer vae
Petrovich M., Black M. J., Varol G · 2021
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Babel: Bodies, action and behavior with english labels
Punnakkal A. R., Chandrasekaran A., Athanasiou N., Quiros-Ramirez A., Black M. J · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Radford A., Kim J. W., Hallacy C., Ramesh A., Goh G., Agarwal S., Sastry G., Askell A., Mishkin P., Clark J., et al · 2021
Earlier work this paper cites.
Synthesizing long-term 3d human motion and interaction in 3d scenes
Wang J., Xu H., Xu J., Liu S., Wang X · 2021
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Teach: Temporal action composition for 3d humans
Athanasiou N., Petrovich M., Black M. J., Varol G · 2022
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Behave: Dataset and method for tracking human object interactions
Bhatnagar B. L., Xie X., Petrov I. A., Sminchisescu C., Theobalt C., Pons-Moll G · 2022
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Generative adversarial graph convolutional networks for human action synthesis
Degardin B., Neves J., Lopes V., Brito J., Yaghoubi E., Proença H · 2022
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Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts
Guo C., Zuo X., Wang S., Cheng L · 2022
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Generating diverse and natural 3d human motions from text
Guo C., Zou S., Zuo X., Wang S., Ji W., Li X., Cheng L · 2022
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Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
Hong F., Zhang M., Pan L., Cai Z., Yang L., Liu Z · 2022
Cited alongside, same era.
Posegpt: Quantization-based 3d human motion generation and forecasting
Lucas T., Baradel F., Weinzaepfel P., Rogez G · 2022
Cited alongside, same era.
Action-conditioned on-demand motion generation
Lu Q., Zhang Y., Lu M., Roychowdhury V · 2022
Cited alongside, same era.
Temos: Generating diverse human motions from textual descriptions
Petrovich M., Black M. J., Varol G · 2022
Cited alongside, same era.
Goal: Generating 4d whole-body motion for hand-object grasping
Taheri O., Choutas V., Black M. J., Tzionas D · 2022
Cited alongside, same era.
Motionclip: Exposing human motion generation to clip space
Being comes from not-being: Open-vocabulary text-to-motion generation with wordless training
Lin J., Chang J., Liu L., Li G., Lin L., Tian Q., Chen C.-w · 2023
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Controllable human-object interaction synthesis
Li J., Clegg A., Mottaghi R., Wu J., Puig X., Liu C. K · 2023
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Multiact: Long-term 3d human motion generation from multiple action labels
Lee T., Moon G., Lee K. M · 2023
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Object motion guided human motion synthesis
Li J., Wu J., Liu C. K · 2023
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Generating continual human motion in diverse 3d scenes
Mir A., Puig X., Kanazawa A., Pons-Moll G · 2023
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Tevet G., Gordon B., Hertz A., Bermano A. H., Cohen-Or D · 2022
Cited alongside, same era.
Tevet G., Raab S., Gordon B., Shafir Y., Cohen-Or D., Bermano A. H · 2022
Cited alongside, same era.
Towards diverse and natural scene-aware 3d human motion synthesis
Wang J., Rong Y., Liu J., Yan S., Lin D., Dai B · 2022
Cited alongside, same era.
Saga: Stochastic whole-body grasping with contact
Wu Y., Wang J., Zhang Y., Zhang S., Hilliges O., Yu F., Tang S · 2022
Cited alongside, same era.
Compositional human-scene interaction synthesis with semantic control
Zhao K., Wang S., Zhang Y., Beeler T., Tang S · 2022
Cited alongside, same era.
Executing your commands via motion diffusion in latent space
Chen X., Jiang B., Liu W., Huang Z., Fu B., Chen T., Yu G · 2023
Cited alongside, same era.
Cg-hoi: Contact-guided 3d human-object interaction generation
Diller C., Dai A · 2023
Cited alongside, same era.
Peng X., Xie Y., Wu Z., Jampani V., Sun D., Jiang H · 2023
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Human motion diffusion as a generative prior
Shafir Y., Tevet G., Kapon R., Bermano A. H · 2023
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Physdiff: Physics-guided human motion diffusion model
Yuan Y., Song J., Iqbal U., Vahdat A., Kautz J · 2023
Later among the works it cites.
T2m-gpt: Generating human motion from textual descriptions with discrete representations
Zhang J., Zhang Y., Cun X., Huang S., Zhang Y., Zhao H., Lu H., Shen X · 2023
Later among the works it cites.
Motiongpt: Human motion as a foreign language
Jiang B., Chen X., Liu W., Yu J., Yu G., Chen T · 2024
Closest in time.
Task-oriented human-object interactions generation with implicit neural representations
Li Q., Wang J., Loy C. C., Dai B · 2024
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Contact-aware human motion generation from textual descriptions
Ma S., Cao Q., Zhang J., Tao D · 2024
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Motiondiffuse: Text-driven human motion generation with diffusion model
Zhang M., Cai Z., Pan L., Hong F., Guo X., Yang L., Liu Z · 2024
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Action2motion: Conditioned generation of 3d human motions
Guo C., Zuo X., Wang S., Zou S., Sun Q., Deng A., Gong M., Cheng L · 2029
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