ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation | Paper Citation Record

Observation 5805c44e-95db-4af1-a8c8-1e614ac255c8 · outbound

This paper cites Unpaired motion style transfer from video to animation.ACM Transactions on Graphics (TOG), 39(4):64–1, 2020.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Unpaired motion style transfer from video to animation.ACM Transactions on Graphics (TOG), 39(4):64–1, 2020

Reference 1

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Observation 5fe57494-deda-4679-b183-370b21b5ed70 · outbound

This paper cites Lan- guage2pose: Natural language grounded pose forecasting.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Lan- guage2pose: Natural language grounded pose forecasting

Reference 2

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Observation b3034100-8292-4387-937a-724a73b173ea · outbound

This paper cites Coolmoves: User motion ac- centuation in virtual reality.Proceedings of the ACM on In- teractive, Mobile, Wearable and Ubiquitous Technologies, 5 (2):1–23, 2021.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Coolmoves: User motion ac- centuation in virtual reality.Proceedings of the ACM on In- teractive, Mobile, Wearable and Ubiquitous Technologies, 5 (2):1–23, 2021

Reference 3

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Observation b39b73b6-f45f-417b-8cd6-0f45568829e9 · outbound

This paper cites Deep learning-based motion style transfer tools, techniques and fu- ture challenges.Sensors, 23(5):2597, 2023.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Deep learning-based motion style transfer tools, techniques and fu- ture challenges.Sensors, 23(5):2597, 2023

Reference 4

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Observation c5714a73-54ba-4c20-ad72-cf34415b25b4 · outbound

This paper cites Deep clustering for unsupervised learning of visual features.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Deep clustering for unsupervised learning of visual features

Reference 5

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Observation c4910c93-075e-4312-8a7b-877c9f69e246 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.Ad- vances in neural information processing systems, 33:9912– 9924, 2020.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Unsupervised learning of visual features by contrasting cluster assignments.Ad- vances in neural information processing systems, 33:9912– 9924, 2020

Reference 6

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Observation 9936cb23-e2c4-460b-9818-21fd6fcdaf24 · outbound

This paper cites Neural clustering based visual representation learning.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Neural clustering based visual representation learning

Reference 7

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Observation 5a53f06b-738f-46a4-ad02-6f7b1f2ce17c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation A simple framework for contrastive learning of visual representations

Reference 8

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Observation 0330aef7-56d4-4aca-8623-bbd3dafc757e · outbound

This paper cites Executing your commands via motion diffusion in latent space.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Executing your commands via motion diffusion in latent space

Reference 9

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Observation 860c4f88-bd4a-459b-a7e5-f6c4032e85cb · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Sinkhorn distances: Lightspeed computation of optimal transport.Advances in neural information pro- cessing systems, 26, 2013

Reference 10

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Observation ed961991-cc47-4726-b420-aee874aa31e7 · outbound

This paper cites Mofusion: A framework for denoising-diffusion-based motion synthesis.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Mofusion: A framework for denoising-diffusion-based motion synthesis

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Observation 2837b8d1-a5ec-48b2-af0e-7dccaef53da7 · outbound

This paper cites Decou- pling with entropy-based equalization for semi-supervised semantic segmentation.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Decou- pling with entropy-based equalization for semi-supervised semantic segmentation

Reference 12

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Observation 1e22e82a-f97a-4806-b609-3f16d360039d · outbound

This paper cites Clustering propagation for universal medical image segmen- tation.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Clustering propagation for universal medical image segmen- tation

Reference 13

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Observation 5f9cf9c4-48af-482f-b7ed-21582d8d2abd · outbound

This paper cites Clustering based point cloud representation learning for 3d analysis.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Clustering based point cloud representation learning for 3d analysis

Reference 14

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Observation 3ad6a5f5-28b2-4677-aa0d-c898d4f8f11c · outbound

This paper cites Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds

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Observation e84b8ea6-1f8d-4aad-8f40-ae1c05fb02a8 · outbound

This paper cites A robust com- petitive clustering algorithm with applications in computer vision.Ieee transactions on pattern analysis and machine intelligence, 21(5):450–465, 2002.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation A robust com- petitive clustering algorithm with applications in computer vision.Ieee transactions on pattern analysis and machine intelligence, 21(5):450–465, 2002

Reference 16

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Observation 8d3ebefa-5a86-4c4a-8bf7-8b8d8f9a6a9d · outbound

This paper cites Guess: Gradually enriching synthesis for text-driven human motion generation.IEEE Transactions on Visualization and Computer Graphics, 30 (12):7518–7530, 2024.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Guess: Gradually enriching synthesis for text-driven human motion generation.IEEE Transactions on Visualization and Computer Graphics, 30 (12):7518–7530, 2024

Reference 17

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Observation e9327833-127e-4894-811e-eff0b95dc114 · outbound

This paper cites Im- age style transfer using convolutional neural networks.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Im- age style transfer using convolutional neural networks

Reference 18

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Observation 937d68c1-77b2-4f45-b89a-2e8cb56b915a · outbound

This paper cites Synthesis of compositional animations from textual descriptions.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Synthesis of compositional animations from textual descriptions

Reference 19

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Observation 8b26986e-2678-40f5-aa89-18666ef3b3aa · outbound

This paper cites Iterative motion editing with natural language.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Iterative motion editing with natural language

Reference 20

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Observation fdb3aa22-734d-4846-a31f-622b9932afc8 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Generating diverse and natural 3d human motions from text

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Observation 552715f0-4d46-4e67-89af-4d8fd8bf00bc · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Tm2t: Stochastic and tokenized modeling for the reciprocal gener- ation of 3d human motions and texts

Reference 22

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Observation 34e6bed5-4976-4fd9-89a3-cfc126beab3a · outbound

This paper cites Momask: Generative masked model- ing of 3d human motions.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Momask: Generative masked model- ing of 3d human motions

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Observation f538ae60-9867-43e9-b2d7-e9a5040438d6 · outbound

This paper cites Generative Human Motion Stylization in Latent Space.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Generative Human Motion Stylization in Latent Space

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Observation 4901e1f4-45b2-43a4-9f11-55ef9810c77c · outbound

This paper cites StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion

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Observation fbd023e9-4815-4f2d-8b9e-dc57a97401f7 · outbound

This paper cites Amd: Autoregressive motion diffusion.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Amd: Autoregressive motion diffusion

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Observation 90f443ee-3d87-4d62-a6f2-19b497412f55 · outbound

This paper cites Diffusion-based human motion style transfer with semantic guidance.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Diffusion-based human motion style transfer with semantic guidance

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Observation 1529801f-0d34-41a9-9a58-c0eabbbbab4d · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Arbitrary style transfer in real-time with adaptive instance normalization

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Observation f5b2eb65-31c1-454f-a33b-54c960720764 · outbound

This paper cites Mo- tion puzzle: Arbitrary motion style transfer by body part.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Mo- tion puzzle: Arbitrary motion style transfer by body part

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Observation 46df1cf2-4b85-404e-8b09-359bae7e0f6c · outbound

This paper cites Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Motiongpt: Human motion as a foreign lan- guage.Advances in Neural Information Processing Systems, 36:20067–20079, 2023

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Observation bd3a6132-ef5f-4547-8f7e-cbfc084f8087 · outbound

This paper cites Act as you wish: Fine-grained control of motion diffusion model with hierarchical semantic graphs.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Act as you wish: Fine-grained control of motion diffusion model with hierarchical semantic graphs

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This paper cites Ro- bust clustering with applications in computer vision.IEEE transactions on pattern analysis and machine intelligence, 13(8):791–802, 1991.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Ro- bust clustering with applications in computer vision.IEEE transactions on pattern analysis and machine intelligence, 13(8):791–802, 1991

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Observation 3580064c-b0cb-4678-b753-bbd319d94c97 · outbound

This paper cites Guided motion diffusion for controllable human motion synthesis.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Guided motion diffusion for controllable human motion synthesis

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Observation f8c33d7d-a925-46e0-9883-0ccfb518937d · outbound

This paper cites Most: Motion style transformer between diverse ac- tion contents.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Most: Motion style transformer between diverse ac- tion contents

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Observation 1888e60c-b61c-4e27-a2b9-e5d7dd4507b0 · outbound

This paper cites Personabooth: Per- sonalized text-to-motion generation.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Personabooth: Per- sonalized text-to-motion generation

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Observation 03c80707-2750-4ae3-8470-9e9c200dbb4d · outbound

This paper cites MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation MulSMo: Multimodal Stylized Motion Generation by Bidirectional Control Flow

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Observation d54e9e00-cc55-4405-8d48-37181ff752cd · outbound

This paper cites Clusterfomer: clustering as a universal visual learner.Advances in neural information processing systems, 36:64029–64042, 2023.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Clusterfomer: clustering as a universal visual learner.Advances in neural information processing systems, 36:64029–64042, 2023

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation CLUSTSEG: Clustering for Universal Segmentation

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Pointcluster: Deep clustering of 3-d point clouds with se- mantic pseudo-labeling.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2024

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This paper cites Point cloud classification using content-based trans- former via clustering in feature space.IEEE/CAA Journal of Automatica Sinica, 11(1):231–239, 2023.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Point cloud classification using content-based trans- former via clustering in feature space.IEEE/CAA Journal of Automatica Sinica, 11(1):231–239, 2023

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This paper cites Zero- shot video grounding with pseudo query lookup and veri- fication.IEEE Transactions on Image Processing, 33:1643– 1654, 2024.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Zero- shot video grounding with pseudo query lookup and veri- fication.IEEE Transactions on Image Processing, 33:1643– 1654, 2024

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Observation 38a758b7-a6b4-4d0d-adcf-9cf40c4b0629 · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Unresolved cited work

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Observation 04e5ee1c-30ec-40bd-8148-ef5049b644de · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

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This paper cites Spice: Seman- tic pseudo-labeling for image clustering.IEEE Transactions on Image Processing, 31:7264–7278, 2022.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Spice: Seman- tic pseudo-labeling for image clustering.IEEE Transactions on Image Processing, 31:7264–7278, 2022

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Observation 73a8381a-62d7-4bc1-9405-74a90c2b9337 · outbound

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Observation 4392d519-28f5-4d4b-b79d-ea7f07b0b7e1 · outbound

This paper cites Black, and Gül Varol.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Black, and Gül Varol

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Observation 12ae2fc9-5ea1-43ab-bd07-bd31ac5e8251 · outbound

This paper cites Temos: Generating diverse human motions from textual descriptions.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Temos: Generating diverse human motions from textual descriptions

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Observation 4d5b615a-0d79-45de-a4e7-a403f13b1484 · outbound

This paper cites Black, and Gül Varol.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Black, and Gül Varol

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Observation 8cc080bc-7d10-4c07-aff3-d9d61f97c7de · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Bamm: Bidirectional autoregressive motion model

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Observation 981b33a2-6d4d-48be-a27e-09edd6e4f956 · outbound

This paper cites Mmm: Generative masked motion model.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Mmm: Generative masked motion model

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Observation 895c0b2f-f869-4d9b-8378-e18d0b046f0f · outbound

This paper cites Mafd: Fine-grained motion style trans- fer with adaptive signal fusion.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Mafd: Fine-grained motion style trans- fer with adaptive signal fusion

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Observation 7162f7b5-b5fb-463a-9d65-9925c1085830 · outbound

This paper cites Learning Clustering-based Prototypes for Compositional Zero-shot Learning.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Learning Clustering-based Prototypes for Compositional Zero-shot Learning

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Observation 754215f7-df9a-455e-8377-5a2be8b4f21c · outbound

This paper cites Monkey see, monkey do: Harnessing self- attention in motion diffusion for zero-shot motion transfer.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Monkey see, monkey do: Harnessing self- attention in motion diffusion for zero-shot motion transfer

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Observation 3ef0e8d9-cd3b-4af7-940a-6e1aa6801bfc · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Learning transferable visual models from natural language supervi- sion

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Observation 404e2057-5d13-46a9-8cc1-3af2b58009d6 · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Gaussian mixture models

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Observation 7438b464-87ca-45dc-a160-4da91fe082fa · outbound

This paper cites Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Arbitrary mo- tion style transfer with multi-condition motion latent diffu- sion model

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Observation 8ddb3255-da65-42b6-8b8f-5c5ac37cef9a · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Rsmt: Real-time stylized motion transition for characters

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Observation d467ed68-93fa-486f-81f9-71b64d0a3561 · outbound

This paper cites Style-erd: Responsive and coherent online motion style transfer.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Style-erd: Responsive and coherent online motion style transfer

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Observation 43092906-658e-4228-affd-85adee196bce · outbound

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Observation a8eb9707-8d3e-4502-9ac3-244f57d00a71 · outbound

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Observation d427ddc0-6b20-4371-8aa1-6cc26ac08fce · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Tlcontrol: Trajec- tory and language control for human motion synthesis

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Observation 32fc558e-cc67-4057-8ffc-3785578405c4 · outbound

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Observation a4a05d4c-cc39-4dfb-9b53-33d6ffa871be · outbound

This paper cites Fg-t2m: Fine-grained text-driven human motion generation via diffusion model.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Fg-t2m: Fine-grained text-driven human motion generation via diffusion model

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Observation b2fbb7b7-fe76-498e-bb99-c63dbdd0bc2c · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Autoregressive stylized motion syn- thesis with generative flow

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Observation ad0a7171-b01c-4fa4-850d-13d2b2179a18 · outbound

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Observation cd8f2aee-94ce-44e0-a4b8-5ae0339c66e4 · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Towards detailed text-to- motion synthesis via basic-to-advanced hierarchical diffu- sion model

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Observation c9badeba-3978-486e-a432-5efe6794ed0c · outbound

This paper cites Hierarchical style-based networks for motion synthesis.

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Observation 010de0a6-fb62-4c9c-8a2a-6d17d27f6e46 · outbound

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Observation 38731eec-aada-4d82-81e6-7b0fb32a8db4 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

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Observation 111c876d-217f-43ac-853c-3c6512440e09 · outbound

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Observation dc16ec00-a9ac-441f-958f-370e6c491371 · outbound

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Observation 9f1ffea3-08d1-46b4-a3c7-322fb381ca95 · outbound

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Observation a018de09-ed64-415b-90c5-509a8b5544d7 · outbound

This paper cites Energymogen: Compositional human motion generation with energy-based diffusion model in latent space.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Energymogen: Compositional human motion generation with energy-based diffusion model in latent space

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Observation 8efa04ef-782f-4e4c-9908-cf60b054b499 · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Adding conditional control to text-to-image diffusion models

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Observation 40253666-2977-47ba-9675-3875adeb622b · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Re- modiffuse: Retrieval-augmented motion diffusion model

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Observation 0f0d1281-1698-4ecf-ae6c-f3e0cfba2645 · outbound

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Observation 91ef51ca-baa4-468d-a3c4-57de4edc0fcb · outbound

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Observation 9d3c0112-db2b-490f-8e4a-bec64a27587d · outbound

This paper cites Attt2m: Text-driven human motion generation with multi- perspective attention mechanism.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Attt2m: Text-driven human motion generation with multi- perspective attention mechanism

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Observation 9bd6f9b9-3f3d-4a1d-b299-7f5c1ce35b7b · outbound

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Observation 6c3815a1-65ac-44a1-9d47-c8ac851dc3f9 · outbound

This paper cites Smoogpt: Styl- ized motion generation using large language models.arXiv preprint arXiv:2509.04058, 2025.

ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Smoogpt: Styl- ized motion generation using large language models.arXiv preprint arXiv:2509.04058, 2025

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Observation 4c28b331-210f-4629-8f91-43dfe8151b00 · outbound

This paper cites Rethinking semantic segmentation: A proto- type view.

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Observation f3b055bc-4df9-41ac-8227-ccaaa2b05118 · outbound

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ClusterStyle: Modeling Intra-Style Diversity with Prototypical Clustering for Stylized Motion Generation Ude: A unified driv- ing engine for human motion generation

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