Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis | Paper Citation Record

Observation 9fa8eadc-d255-44f2-bf38-a05dbe5c618f · outbound

This paper cites Listen, denoise, action! audio-driven motion synthesis with diffusion models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Listen, denoise, action! audio-driven motion synthesis with diffusion models

Reference 1

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Observation 81e19920-04a8-412d-9a7e-e6ffe7ff3840 · outbound

This paper cites Implicit neural representations for variable length human motion generation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Implicit neural representations for variable length human motion generation

Reference 2

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Observation f3ff7bac-3cf8-4766-a5a8-8d015db688a0 · outbound

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

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Executing your commands via motion diffusion in latent space

Reference 3

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Observation 968bda63-3f0b-49ec-ae40-e7331c4508ea · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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Observation 41f4b65e-f494-41ac-a921-c4324845b2c3 · outbound

This paper cites Efficient video prediction via sparsely conditioned flow matching.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Efficient video prediction via sparsely conditioned flow matching

Reference 5

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Observation 86a98773-fdb5-4aa4-ba10-b268e558d988 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Diffusion models beat gans on image synthesis

Reference 6

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Observation 91b67ee3-ab4c-44b7-a6c9-58bb4fb501ff · outbound

This paper cites Wandr: Intention- guided human motion generation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Wandr: Intention- guided human motion generation

Reference 7

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Observation 5acd1807-e986-43c5-9603-b18575963068 · outbound

This paper cites Learning Energy-Based Models by Diffusion Recovery Likelihood.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Learning Energy-Based Models by Diffusion Recovery Likelihood

Reference 8

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Observation 0337f7c6-735c-4471-b5d6-c989b1ceeddb · outbound

This paper cites Ac- tion2motion: Conditioned generation of 3d human motions.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Ac- tion2motion: Conditioned generation of 3d human motions

Reference 9

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Observation 328d1cf0-4425-4807-ae84-d8525e4b13ec · outbound

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

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Generating diverse and natural 3d human motions from text

Reference 10

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Observation 6145fe53-6361-439f-97e8-33d754ecd7da · outbound

This paper cites Momask: Generative masked modeling of 3d human motions.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Momask: Generative masked modeling of 3d human motions

Reference 11

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Observation ca60b2a0-13ec-419e-8b65-10c09f74556b · outbound

This paper cites Denoising diffu- sion probabilistic models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Denoising diffu- sion probabilistic models

Reference 12

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Observation f45319f0-777e-4e66-bb11-7698cd4e6325 · outbound

This paper cites A deep learning framework for character motion synthesis and editing.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis A deep learning framework for character motion synthesis and editing

Reference 13

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Observation 17cad3cb-0af2-4c4e-aca1-0520c2c4d5cc · outbound

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

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Act as you wish: Fine-grained control of motion diffusion model with hierarchical semantic graphs

Reference 14

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Observation 578eba47-303c-4bf2-8a96-48156df0466b · outbound

This paper cites Audio2gestures: Generating di- verse gestures from speech audio with conditional variational autoencoders.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Audio2gestures: Generating di- verse gestures from speech audio with conditional variational autoencoders

Reference 15

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Observation 89ca9abb-e482-468a-93fd-ae8403fccdfa · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Ai choreographer: Music conditioned 3d dance generation with aist++

Reference 16

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Observation c183f4eb-7bca-40f8-b7fe-cf6159bfa0c9 · outbound

This paper cites AI Choreographer: Music Conditioned 3D Dance Generation with AIST++.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

Reference 17

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Observation 7b63fb77-7646-4aa7-a81f-1a96bbf7cfa7 · outbound

This paper cites Motion-x: A large- scale 3d expressive whole-body human motion dataset.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Motion-x: A large- scale 3d expressive whole-body human motion dataset

Reference 18

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Observation 4dd86547-e147-4f85-b6a3-9dd4b4a385db · outbound

This paper cites Flow Matching for Generative Modeling.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Flow Matching for Generative Modeling

Reference 19

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This paper cites an unresolved cited work.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Unresolved cited work

Reference 20

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Observation 5a0c1523-a189-40c3-98d5-48f237961627 · outbound

This paper cites Exploiting variational domain- invariant user embedding for partially overlapped cross do- main recommendation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Exploiting variational domain- invariant user embedding for partially overlapped cross do- main recommendation

Reference 21

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Observation 77e1af8d-7cde-43ed-a141-ef0853ef62c4 · outbound

This paper cites Joint internal multi-interest exploration and external domain alignment for cross domain sequential recommendation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Joint internal multi-interest exploration and external domain alignment for cross domain sequential recommendation

Reference 22

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Observation 35b43826-588b-44e2-97fe-ef1f4d79d109 · outbound

This paper cites Contrastive proxy kernel stein path alignment for cross-domain cold-start recommenda- tion.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Contrastive proxy kernel stein path alignment for cross-domain cold-start recommenda- tion

Reference 23

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Observation 536352b0-51ec-4d21-8818-ecf9e40b2b7a · outbound

This paper cites User distribution map- ping modelling with collaborative filtering for cross domain recommendation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis User distribution map- ping modelling with collaborative filtering for cross domain recommendation

Reference 24

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Observation c91b976d-97d4-42b2-8c5c-956e01106ece · outbound

This paper cites Learning accurate and bidirectional transformation via dy- namic embedding transportation for cross-domain recommen- dation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Learning accurate and bidirectional transformation via dy- namic embedding transportation for cross-domain recommen- dation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:07.071747Z

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Observation c9cd724e-f044-4b17-afea-1e9dc7de8a49 · outbound

This paper cites Reducing item discrepancy via differentially private robust embedding alignment for privacy-preserving cross domain recommendation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Reducing item discrepancy via differentially private robust embedding alignment for privacy-preserving cross domain recommendation

Reference 26

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Observation 07fd07c0-84e5-448d-913d-b68db2f0bcf0 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 27

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Observation 749a3e35-2742-4d50-a6f4-d0106c1cbf1d · outbound

This paper cites Audio-driven co-speech gesture video generation.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Audio-driven co-speech gesture video generation

Reference 28

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Observation 6e9834ce-face-4753-b9f6-5aa14d46a387 · outbound

This paper cites Amass: Archive of motion capture as surface shapes.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Amass: Archive of motion capture as surface shapes

Reference 29

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Observation 9bacaa1c-6993-4b2e-9cc1-ebea7abd01c0 · outbound

This paper cites Symbolic music generation with diffusion models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Symbolic music generation with diffusion models

Reference 30

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Observation edb67741-006b-4029-9a2c-f8a1a4c945e6 · outbound

This paper cites Conditional image synthesis with auxiliary clas- sifier gans.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Conditional image synthesis with auxiliary clas- sifier gans

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.999999Z

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Observation df1f9b86-50fa-4cff-9783-eea7fc0cb1cb · outbound

This paper cites Action- conditioned 3d human motion synthesis with transformer vae.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Action- conditioned 3d human motion synthesis with transformer vae

Reference 32

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Observation d39246c9-d1ed-486c-9a46-b87256dc6925 · outbound

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

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Temos: Generating diverse human motions from textual descriptions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.969654Z

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Observation 3b52ec49-0746-41f3-89dd-b13b409233f2 · outbound

This paper cites Computational optimal transport: With applications to data science.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Computational optimal transport: With applications to data science

Reference 34

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Observation 52a1d8eb-c5a6-4c24-9f3d-814ed5fba361 · outbound

This paper cites Modi: Uncondi- tional motion synthesis from diverse data.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Modi: Uncondi- tional motion synthesis from diverse data

Reference 35

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Observation ad623f99-ddec-4900-9312-80eedbb45f62 · outbound

This paper cites Assessing generative models via precision and recall.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Assessing generative models via precision and recall

Reference 36

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Observation be696871-2b48-49c4-8174-bc2364b34be2 · outbound

This paper cites Denoising Diffusion Implicit Models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Denoising Diffusion Implicit Models

Reference 37

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Observation 5f9a6b00-4317-40c9-b9ec-018c1702be3e · outbound

This paper cites Improved techniques for training score-based generative models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Improved techniques for training score-based generative models

Reference 38

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Observation a0c65fce-44c6-4661-a95a-820b6a160ea0 · outbound

This paper cites SCORE-BASED GENERATIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUATIONS.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis SCORE-BASED GENERATIVE MODELING THROUGH STOCHASTIC DIFFERENTIAL EQUATIONS

Reference 39

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Observation 6be9ed9a-ee2f-40ec-8a04-b89895f930ae · outbound

This paper cites Consistency Models.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Consistency Models

Reference 40

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Observation 135bb9cb-ac3f-40ce-9679-9a1ef3a65449 · outbound

This paper cites Action-guided 3d human motion pre- diction.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Action-guided 3d human motion pre- diction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.876110Z

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Observation d8e40705-dda6-4636-9705-96e9a0a2501d · outbound

This paper cites Modeling human visual motion processing with trainable motion energy sensing and a self-attention network.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Modeling human visual motion processing with trainable motion energy sensing and a self-attention network

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.861129Z

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Observation 53259c43-ca34-4445-8866-2edd4caaaa27 · outbound

This paper cites Motion to dance music generation using latent diffusion model.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Motion to dance music generation using latent diffusion model

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.845422Z

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Observation e369247e-f2f9-4a0f-a2a3-5e6e91a0cdf8 · outbound

This paper cites Temporal continual learning with prior compensation for human motion prediction.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Temporal continual learning with prior compensation for human motion prediction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.829881Z

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Observation babc41bf-3d67-40d9-87cb-119ba71aa1fb · outbound

This paper cites Human Motion Diffusion Model.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Human Motion Diffusion Model

Reference 45

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Observation 1390dced-e63b-445b-91bf-2d04dd70d0c6 · outbound

This paper cites Score-based generative modeling in latent space.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Score-based generative modeling in latent space

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.815052Z

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Observation d4f9bd21-8975-4af5-90c3-059c47d04b8f · outbound

This paper cites Neural discrete representation learning.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Neural discrete representation learning

Reference 47

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Observation 0e602e21-fca0-462b-95a7-3fdd4ecc7ee0 · outbound

This paper cites Attention is all you need.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Attention is all you need

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:06.376309Z

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Observation 597fea57-6b2f-4451-ad83-46bd0a124804 · outbound

This paper cites Incomplete multimodality-diffused emotion recognition.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Incomplete multimodality-diffused emotion recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T04:38:06.380366Z

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Observation 93a3d360-94b3-42cb-9af1-4c27c054515e · outbound

This paper cites Humanise: Language-conditioned human motion generation in 3d scenes.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Humanise: Language-conditioned human motion generation in 3d scenes

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.770809Z

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Observation 81619956-8ae0-4d9a-8dbf-a2c0d584fc5f · outbound

This paper cites Human joint kinematics diffusion-refinement for stochastic motion prediction.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Human joint kinematics diffusion-refinement for stochastic motion prediction

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.755876Z

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Observation 7efa68e7-d890-417a-b4fc-0c885782924a · outbound

This paper cites Fast point cloud gener- ation with straight flows.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Fast point cloud gener- ation with straight flows

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.740272Z

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Observation caeb6b93-d6a7-45d9-83de-adf1014c7d5c · outbound

This paper cites Mt-vae: Learning motion transformations to generate multimodal human dynamics.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Mt-vae: Learning motion transformations to generate multimodal human dynamics

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.724519Z

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Observation 7e9737cf-f763-4e30-bb58-9ca29faff916 · outbound

This paper cites Toward realistic 3d human motion prediction with a spatio-temporal cross- transformer approach.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Toward realistic 3d human motion prediction with a spatio-temporal cross- transformer approach

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.711003Z

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Observation ac332a4a-0db9-474f-9b4c-fb423a4f7553 · outbound

This paper cites Divdiff: A conditional diffusion model for diverse human motion prediction.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Divdiff: A conditional diffusion model for diverse human motion prediction

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.696030Z

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Observation 87198350-ce9e-43f2-8d00-4aff67aa22f8 · outbound

This paper cites Towards efficient and diverse generative model for unconditional human motion synthesis.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Towards efficient and diverse generative model for unconditional human motion synthesis

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.681160Z

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Observation 76bee899-b1c2-42d4-8c11-59c5036cc0aa · outbound

This paper cites Dlow: Diversifying latent flows for diverse human motion prediction.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Dlow: Diversifying latent flows for diverse human motion prediction

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.664576Z

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Observation f7bb923d-db18-4d8f-8eb2-23f23563ec28 · outbound

This paper cites Physdiff: Physics-guided human motion diffusion model.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Physdiff: Physics-guided human motion diffusion model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.647750Z

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Observation 81e4fcf0-296c-45ef-b5cd-e834372eef9b · outbound

This paper cites Generating human motion from textual descriptions with dis- crete representations.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Generating human motion from textual descriptions with dis- crete representations

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.631461Z

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Observation 8b280b86-f102-4445-bf20-f514091a77a9 · outbound

This paper cites We are more than our joints: Predicting how 3d bodies move.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis We are more than our joints: Predicting how 3d bodies move

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.615394Z

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Observation 3f9c4efa-4e51-46f0-91b9-77a2a1e652bf · outbound

This paper cites Motiongpt: Finetuned llms are general-purpose motion gen- erators.

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Motiongpt: Finetuned llms are general-purpose motion gen- erators

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:38:06.599216Z

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