Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold | Paper Citation Record

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This paper cites Text2Action: Generative Adversarial Synthesis from Language to Action.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Text2Action: Generative Adversarial Synthesis from Language to Action

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Language2Pose: Natural Language Grounded Pose Forecasting

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This paper cites Academic press (2011).

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Academic press (2011)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Trans

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This paper cites Human Motion Prediction Using Manifold-Aware Wasserstein GAN.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Human Motion Prediction Using Manifold-Aware Wasserstein GAN

Reference 6

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This paper cites In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision

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This paper cites In: 2015 IEEE International Conference on Computer Vision (ICCV).

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: 2015 IEEE International Conference on Computer Vision (ICCV)

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This paper cites In: 2009 IEEE Con- ference on Computer Vision and Pattern Recognition.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: 2009 IEEE Con- ference on Computer Vision and Pattern Recognition

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This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 10

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Unresolved cited work

Reference 11

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: ACM SIGGRAPH 2004 Papers

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites In: Procedings of the British Ma- chine Vision Conference 2017.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Procedings of the British Ma- chine Vision Conference 2017

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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This paper cites Denoising Diffusion Probabilistic Models.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Denoising Diffusion Probabilistic Models

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold cmu.edu/ (2015)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Unresolved cited work

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This paper cites ACM Transactions on Graphics 36(4), 1–13 (Aug 2017).

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics 36(4), 1–13 (Aug 2017)

Reference 19

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics35(4), 1–11 (Jul 2016)

Reference 20

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This paper cites In: SIGGRAPH Asia 2015 Technical Briefs.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: SIGGRAPH Asia 2015 Technical Briefs

Reference 21

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Unresolved cited work

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This paper cites Diffusion-based Generation, Optimization, and Planning in 3D Scenes.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Diffusion-based Generation, Optimization, and Planning in 3D Scenes

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold 6m: Large scale datasets and predictive methods for 3d human sensing in natural environments

Reference 24

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Constructing Human Motion Manifold with Sequential Networks

Reference 25

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold MotionGPT: Human Motion as a Foreign Language

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Progressive Growing of GANs for Improved Quality, Stability, and Variation

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold IEEE Trans

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 29

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Auto-Encoding Variational Bayes

Reference 30

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Trans

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold 21(3),473– 482(Jul2002)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Advances in Neural Information Processing Systems

Reference 33

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

Reference 36

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Trans

Reference 37

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics30(3), 1–11 (May Exploring Deep Learning for Lifelike Animation with Manifold 15 2011)

Reference 38

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics31(4), 1–10 (Aug 2012).https://doi.org/10.1145/2185520.2185524, https://dl.acm

Reference 39

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 40

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold IEEE trans- actions on pattern analysis and machine intelligence42(10), 2684–2701 (2019)

Reference 41

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: CVPR 2011

Reference 42

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Trans

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting

Reference 44

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 45

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics 31(6), 1–12 (Nov 2012)

Reference 46

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Computer vision and image understanding 104(2-3), 90–126 (2006)

Reference 47

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold STAR: Sparse Trained Articulated Human Body Regressor

Reference 48

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: 2019 IEEE/CVF Conference on Computer Vision and Pat- tern Recognition (CVPR)

Reference 49

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics 40(4), 1–20 (Aug 2021).https://doi.org/10.1145/3450626.3459670, https:// dl.acm.org/doi/10.1145/3450626.3459670 16 Zhao

Reference 51

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

Reference 52

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold TEMOS: Generating diverse human motions from textual descriptions

Reference 53

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 54

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This paper cites IEEE Computer Graphics and Applications 18(5), 32– 40 (Oct 1998).https://doi.org/10.1109/38.708559, http://ieeexplore.ieee.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold IEEE Computer Graphics and Applications 18(5), 32– 40 (Oct 1998).https://doi.org/10.1109/38.708559, http://ieeexplore.ieee

Reference 55

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This paper cites Human Motion Diffusion as a Generative Prior.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Human Motion Diffusion as a Generative Prior

Reference 56

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the 30th International Conference on Neu- ral Information Processing Systems

Reference 57

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Observation 9f77ed4d-c078-4aca-9285-c3f79138e9bd · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Score-Based Generative Modeling through Stochastic Differential Equations

Reference 58

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Proceedings of the ACM on Computer Graphics and Inter- active Techniques 6(3), 1–17 (Aug 2023)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ACM Transactions on Graphics 41(4), 1–13 (Jul 2022)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Human Motion Diffusion Model

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Advances in neural information processing systems30 (2017)

Reference 67

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Structure-Aware Human-Action Generation

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: PG (Short Papers, Posters, and Work-in- Progress Papers)

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold IEEE Trans

Reference 72

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

Reference 73

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold PLACE: Proximity Learning of Articulation and Contact in 3D Environments

Reference 74

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 75

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold MotionBERT: A Unified Perspective on Learning Human Motion Representations

Reference 76

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold Human Motion Generation: A Survey

Reference 77

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Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 78

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