Paper Citation Record · LEDGER

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 7 inbound Pith citation observations for arXiv:2411.19786.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.19786 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:52:13.242838Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:29.327801Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-16T22:08:36.251284Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b629d2c-9a3d-4146-9130-fef736dbf0e0 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks High- resolution image synthesis with latent diffusion models,

Reference 1

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Source-reported events for the cited work

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Observation b1d601ec-a8d1-4d25-a2f3-b1cd9f21f40f · outbound

This paper cites Dreamfusion: Text- to-3d using 2d diffusion,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Dreamfusion: Text- to-3d using 2d diffusion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.945790Z

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Observation 2c5f955d-48b8-4a1f-b6b5-45c71f3b8938 · outbound

This paper cites Denoising diffusion probabilistic models,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Denoising diffusion probabilistic models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.928662Z

Source-reported events for the cited work

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Observation 76596414-0756-4c69-83b8-52330fccb102 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Generative modeling by estimating gradients of the data distribution,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.913799Z

Source-reported events for the cited work

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Observation 2fe49b92-a640-499f-9602-3753bc73d4eb · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Learning transferable visual models from natural language supervision,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.897948Z

Source-reported events for the cited work

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Observation 538d97fe-ebf0-4f5d-aa45-39bc8898a01d · outbound

This paper cites Human motion diffusion model,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Human motion diffusion model,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.882810Z

Source-reported events for the cited work

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Observation c2a61631-56fc-4e89-87e4-49c1caef5d4d · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 7

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Source-reported events for the cited work

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Observation 97cff239-508f-478d-be41-0ea0dabdf2f3 · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Executing your commands via motion diffusion in latent space,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.867947Z

Source-reported events for the cited work

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Observation ad73abdd-10e2-4a7f-9845-1ad64954df48 · outbound

This paper cites T2m-gpt: Generating human motion from textual descriptions with discrete representations,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks T2m-gpt: Generating human motion from textual descriptions with discrete representations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.851397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18dd5306-cdcf-439e-8dd5-e8e43a1d79ed · outbound

This paper cites Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.833912Z

Source-reported events for the cited work

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Observation 816eed48-f234-4697-a6c7-5c6f33869717 · outbound

This paper cites Motiongpt: Human motion as a foreign language,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Motiongpt: Human motion as a foreign language,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.818484Z

Source-reported events for the cited work

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Observation c0381cc0-50e2-4687-a9fd-a03fbe246e0f · outbound

This paper cites Action-conditioned 3d human motion synthesis with transformer V AE,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Action-conditioned 3d human motion synthesis with transformer V AE,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.803721Z

Source-reported events for the cited work

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Observation 9227a4cc-b078-4651-a79b-570e966861c3 · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Generating diverse and natural 3d human motions from text,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.789156Z

Source-reported events for the cited work

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Observation 76a6828a-2288-4956-bc74-258039c2a1c4 · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Ai choreographer: Music conditioned 3d dance generation with aist++,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.774534Z

Source-reported events for the cited work

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Observation 15e93ff4-bffe-4c01-9d22-5f0fb14eb114 · outbound

This paper cites Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks,

Reference 15

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Source-reported events for the cited work

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Observation 2dfc77b6-ba03-43fd-ba42-7cf3aa5ecc76 · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Temos: Generating diverse human motions from textual descriptions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.746973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00c411e7-cd4f-46bf-86eb-9769a044d2bc · outbound

This paper cites Linguistic descriptions of human motion with generative adversarial seq2seq learning,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Linguistic descriptions of human motion with generative adversarial seq2seq learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.731906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b058caf-2ce2-4b12-bff9-85123d7ceec6 · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Fg-t2m: Fine- grained text-driven human motion generation via diffusion model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.718462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a36e7c80-1eff-4eb8-85e2-0bc4dec77284 · outbound

This paper cites Paired recurrent autoencoders for bidirectional translation between robot actions and linguistic descrip- tions,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Paired recurrent autoencoders for bidirectional translation between robot actions and linguistic descrip- tions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.704203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2724f12c-55d6-4253-8c7b-0891979348aa · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Scaling Instruction-Finetuned Language Models

Reference 20

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Source-reported events for the cited work

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Observation 27c27e14-62ce-41cb-b80b-76fa27b9dd05 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks LLaMA: Open and Efficient Foundation Language Models

Reference 21

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Source-reported events for the cited work

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Observation 9658c6fb-6cd7-42ac-91ad-34dca0279a29 · outbound

This paper cites SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:52:13.144053Z

Source-reported events for the cited work

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Observation a96f0d06-617e-46a7-9251-cd4b091a1fce · outbound

This paper cites Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:52:13.148876Z

Source-reported events for the cited work

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Observation 6a47e63b-7aeb-4a43-b772-47b738dfea4c · outbound

This paper cites Imagebind: One embedding space to bind them all,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Imagebind: One embedding space to bind them all,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.689629Z

Source-reported events for the cited work

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Observation b2108a1a-b7a5-4d6e-8014-684dbe14b4b6 · outbound

This paper cites Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.674626Z

Source-reported events for the cited work

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Observation 405e59fe-d1a7-42d2-8738-72f94624b9db · outbound

This paper cites One transformer fits all distributions in multi-modal diffusion at scale,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks One transformer fits all distributions in multi-modal diffusion at scale,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.660469Z

Source-reported events for the cited work

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Observation d1eaf926-d43f-4f39-a598-0a7abe75fa1a · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Flamingo: a visual language model for few-shot learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.645839Z

Source-reported events for the cited work

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Observation ef9f9af7-5ad0-4756-befd-c5c4039c7f6c · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 28

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Source-reported events for the cited work

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Observation 54fd7be5-824b-45b0-b9a5-03c0a5b5a574 · outbound

This paper cites Visual Instruction Tuning.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Visual Instruction Tuning

Reference 29

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Source-reported events for the cited work

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Observation 013937f0-d7c9-4e4b-895e-3d0673c3eb1c · outbound

This paper cites Improved denoising diffusion proba- bilistic models,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Improved denoising diffusion proba- bilistic models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.631117Z

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Observation 1e3e28b9-0fb0-4428-843b-874e7776a81c · outbound

This paper cites Motionclip: Exposing human motion generation to CLIP space,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Motionclip: Exposing human motion generation to CLIP space,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.616164Z

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Observation 4cfa8e18-3109-4a53-aac8-d565338ad23a · outbound

This paper cites Scalable diffusion models with transformers,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Scalable diffusion models with transformers,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T05:52:13.188715Z

Source-reported events for the cited work

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Observation e36e5725-e577-40cf-b8d6-943c81844dd2 · outbound

This paper cites Attention is all you need,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Attention is all you need,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.590622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 417c5097-5110-4e2c-829a-b3cbb4b10f5e · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks A style-based generator architecture for generative adversarial networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.576361Z

Source-reported events for the cited work

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Observation 4f75b23c-44a4-49de-8d34-da62737508d2 · outbound

This paper cites Classifier-free diffusion guidance,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Classifier-free diffusion guidance,

Reference 35

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Observation 878afcdb-0196-41df-8c40-ac1aa34aa1b2 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Bleu: a method for automatic evaluation of machine translation,

Reference 36

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Observation b884c5ff-60dc-4a35-89f3-d87f9381cabe · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Rouge: A package for automatic evaluation of summaries,

Reference 37

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Source-reported events for the cited work

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Observation c859f280-f889-47cd-9856-ab71d3252a93 · outbound

This paper cites Cider: Consensus-based image description evaluation,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Cider: Consensus-based image description evaluation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.528297Z

Source-reported events for the cited work

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Observation 90621055-0ae4-42e4-b31e-873df0a3da8f · outbound

This paper cites Bertscore: Evaluating text generation with BERT,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Bertscore: Evaluating text generation with BERT,

Reference 39

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Source-reported events for the cited work

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Observation b538b436-b80f-4704-8914-6508e48ffca8 · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks SGDR: stochastic gradient descent with warm restarts,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.503937Z

Source-reported events for the cited work

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Observation d1daaf47-3535-4b82-accb-64fbf2b41f8b · outbound

This paper cites Hutumotion: Human-tuned navigation of latent motion diffusion models with minimal feedback,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Hutumotion: Human-tuned navigation of latent motion diffusion models with minimal feedback,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.488005Z

Source-reported events for the cited work

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Observation 0929dd87-8ca2-4431-96d1-037f33542f8b · outbound

This paper cites Remodiffuse: Retrieval-augmented motion diffusion model,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Remodiffuse: Retrieval-augmented motion diffusion model,

Reference 42

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Source-reported events for the cited work

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Observation 19fd68b8-a457-41bf-a89c-ffc6768e0b38 · outbound

This paper cites Digital life project: Autonomous 3d characters with social intelligence,.

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Digital life project: Autonomous 3d characters with social intelligence,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.473565Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33edda76-76c3-4fee-b406-9ed37793acdc · outbound

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

MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks Momask: Generative masked modeling of 3d human motions,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:52:13.458886Z

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Pith citing papers

Observation 858df5a9-f3f3-4252-a366-c667601f7480 · inbound

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection cites this paper.

AI-Generated Fall Data: Assessing LLMs and Diffusion Model for Wearable Fall Detection MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 29

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Observation 18d31264-d99b-489d-a295-4f7e87275235 · inbound

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation cites this paper.

IRG-MotionLLM: Interleaving Motion Generation, Assessment and Refinement for Text-to-Motion Generation MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 74

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Observation 2e468f55-0f87-4456-bae5-6685c26b69db · inbound

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body cites this paper.

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 115

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Observation 4d048991-0494-448a-bf11-fe22d1859185 · inbound

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 75

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Observation df34b9c4-3719-4282-8039-2c5e1fea2e1b · inbound

Encoder-Free Human Motion Understanding via Structured Motion Descriptions cites this paper.

Encoder-Free Human Motion Understanding via Structured Motion Descriptions MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 25

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Observation f08ce8ca-eaa7-45a0-8a24-23bd51ccce74 · inbound

MUGEN: A Unified Framework for Efficient Motion Understanding and Generation cites this paper.

MUGEN: A Unified Framework for Efficient Motion Understanding and Generation MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 24

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Observation 2c10617f-ac15-4d3a-b230-d47cc55430d8 · inbound

MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval cites this paper.

MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks

Reference 23

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