MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm | Paper Citation Record

Observation 2e61dba7-d822-44b2-b5bc-ecf144f81814 · outbound

This paper cites Unpaired motion style transfer from video to animation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Unpaired motion style transfer from video to animation

Reference 1

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Observation ea14b70b-8bed-485b-8967-77b1dafe01de · outbound

This paper cites GPT-4 Technical Report.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm GPT-4 Technical Report

Reference 2

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Observation 017292d3-2b74-4a8d-ab17-2ff0e6816f48 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Listen, denoise, action! audio-driven motion synthesis with diffusion models

Reference 3

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This paper cites Teach: Temporal action composition for 3d hu- mans.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Teach: Temporal action composition for 3d hu- mans

Reference 4

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This paper cites Sinc: Spatial composition of 3d human motions for simultaneous action generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Sinc: Spatial composition of 3d human motions for simultaneous action generation

Reference 5

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Observation 10a96e4c-3614-4e3a-9f00-e71295d91079 · outbound

This paper cites Motionfix: Text-driven 3d human motion editing.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motionfix: Text-driven 3d human motion editing

Reference 6

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This paper cites Curriculum learning.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Curriculum learning

Reference 7

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Observation 3060d94e-80db-4a9c-ac66-cb720f642fc0 · outbound

This paper cites Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing

Reference 8

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Observation 4a6e5ab5-0cb7-4ae3-9905-1dc020841e83 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Executing your commands via motion diffusion in latent space

Reference 9

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Observation 48d6bb3f-54a5-4d09-a8d4-776b122370ff · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 10

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Observation 466d123f-1f04-4ece-bf67-4a9ae5563f06 · outbound

This paper cites Flexible motion in-betweening with diffusion models.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Flexible motion in-betweening with diffusion models

Reference 11

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Observation 79118ec6-cca6-4d24-8f11-ed9b0de16ee4 · outbound

This paper cites Motionlcm: Real-time controllable motion generation via latent consistency model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motionlcm: Real-time controllable motion generation via latent consistency model

Reference 12

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Observation bd9f39c4-9969-4472-acd4-6075c522cc74 · outbound

This paper cites Diffusion models beat gans on image synthesis.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Diffusion models beat gans on image synthesis

Reference 13

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Observation abcf5d4c-162c-4ff0-8615-b8047408be94 · outbound

This paper cites The Llama 3 Herd of Models.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm The Llama 3 Herd of Models

Reference 14

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Observation bda902db-3c45-4433-b2c9-a3a6f403d5f5 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 15

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This paper cites Everything2motion: Synchronizing diverse inputs via a unified framework for human motion synthesis.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Everything2motion: Synchronizing diverse inputs via a unified framework for human motion synthesis

Reference 16

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Observation 1f3e64c8-2d85-48db-a09a-36d7b3d09878 · outbound

This paper cites FLUX that Plays Music.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm FLUX that Plays Music

Reference 17

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Observation 5a701b8e-c300-46e7-ad94-419eac031c02 · outbound

This paper cites Chronolog- ically accurate retrieval for temporal grounding of motion- language models.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Chronolog- ically accurate retrieval for temporal grounding of motion- language models

Reference 18

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Observation 3fd26633-4bef-4611-a463-4627dc436524 · outbound

This paper cites Iterative motion editing with natural language.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Iterative motion editing with natural language

Reference 19

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Observation 8732b4d9-8cac-4bf3-b963-1ae319219bc8 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Ac- tion2motion: Conditioned generation of 3d human motions

Reference 20

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Observation 459d889e-5b53-4387-802e-a6e7b1bb8d27 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Generating diverse and natural 3d human motions from text

Reference 21

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Tm2t: Stochastic and tokenized modeling for the reciprocal genera- tion of 3d human motions and texts

Reference 22

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Observation e92458f4-812e-492a-9481-4b61856559e6 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Momask: Generative masked model- ing of 3d human motions

Reference 23

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Observation cd4019f9-7654-4a6c-a330-d69899f6cf2c · outbound

This paper cites Generative Human Motion Stylization in Latent Space.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Generative Human Motion Stylization in Latent Space

Reference 24

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Observation c5fd513e-8e1d-4682-82d2-a1e2526fe9a9 · outbound

This paper cites TSTMotion: Training-free Scene-aware Text-to-motion Generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm TSTMotion: Training-free Scene-aware Text-to-motion Generation

Reference 25

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Observation 61f51d53-6295-4990-a23e-4c66b0e03caf · outbound

This paper cites Robust motion in-betweening.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Robust motion in-betweening

Reference 26

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This paper cites Classifier-Free Diffusion Guidance.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Classifier-Free Diffusion Guidance

Reference 27

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Observation 904bcebe-da63-4a73-9c70-c673ac5690a2 · outbound

This paper cites Denoising dif- fusion probabilistic models.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Denoising dif- fusion probabilistic models

Reference 28

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Mo- tion puzzle: Arbitrary motion style transfer by body part

Reference 29

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This paper cites Motiongpt: Human motion as a foreign lan- guage.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motiongpt: Human motion as a foreign lan- guage

Reference 30

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This paper cites Motionchain: Conversational motion controllers via multimodal prompts.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motionchain: Conversational motion controllers via multimodal prompts

Reference 31

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Guided motion diffusion for controllable human motion synthesis

Reference 32

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This paper cites Flame: Free- form language-based motion synthesis & editing.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Flame: Free- form language-based motion synthesis & editing

Reference 33

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Observation 1629a825-5459-4744-8b4e-0f9931b6dad3 · outbound

This paper cites Unimotion: Unifying 3D Human Motion Synthesis and Understanding.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Unimotion: Unifying 3D Human Motion Synthesis and Understanding

Reference 34

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motion-x: A large-scale 3d expressive whole-body human motion dataset

Reference 35

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Observation 2f6ea7e6-0658-4b9e-aa94-e65e42ec3925 · outbound

This paper cites VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm VersatileMotion: A Unified Framework for Motion Synthesis and Comprehension

Reference 36

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This paper cites Flow Matching for Generative Modeling.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Flow Matching for Generative Modeling

Reference 37

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 38

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This paper cites Smpl: A skinned multi- person linear model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Smpl: A skinned multi- person linear model

Reference 39

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This paper cites HumanTOMATO: Text-aligned Whole-body Motion Generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm HumanTOMATO: Text-aligned Whole-body Motion Generation

Reference 40

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This paper cites M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation

Reference 41

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This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 42

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This paper cites Scalable diffusion models with transformers.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Scalable diffusion models with transformers

Reference 43

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Action- conditioned 3d human motion synthesis with transformer vae

Reference 44

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This paper cites Mmm: Generative masked motion model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Mmm: Generative masked motion model

Reference 45

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Observation 66c59a0b-0f06-4e91-91fa-f3faa25dd9c1 · outbound

This paper cites The kit motion-language dataset.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm The kit motion-language dataset

Reference 46

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This paper cites Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petro- vic, and Yuming Du

Reference 47

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Observation df22a93e-830b-42c9-90b5-4f14ba985baf · outbound

This paper cites Motion in-betweening via two-stage transformers.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motion in-betweening via two-stage transformers

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.220638Z

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Observation b13d352d-fb97-464e-9b29-5e03f8d68f19 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Learning transferable visual models from natural language supervi- sion

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.213045Z

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Observation 7d1aa27b-94d8-4b7f-a1af-7c6dd42c31da · outbound

This paper cites Length-Aware Motion Synthesis via Latent Diffusion.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Length-Aware Motion Synthesis via Latent Diffusion

Reference 50

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Observation 4810b091-9baa-4b4d-8590-abaa1ef717d2 · outbound

This paper cites Human Motion Diffusion as a Generative Prior.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Human Motion Diffusion as a Generative Prior

Reference 51

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Observation 7d2c999c-061c-4910-83b4-4bc47c608ecf · outbound

This paper cites Generating physically realistic and directable human motions from multi-modal inputs.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Generating physically realistic and directable human motions from multi-modal inputs

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.205599Z

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Observation 675086a5-e922-4efd-a6b1-67f7e6337269 · outbound

This paper cites Denoising Diffusion Implicit Models.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Denoising Diffusion Implicit Models

Reference 53

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Observation 59d86401-c012-4f83-a2fb-b664920f28ba · outbound

This paper cites Loss-guided diffusion models for plug-and-play controllable generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Loss-guided diffusion models for plug-and-play controllable generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.198127Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d0a71a7-ef8f-47be-9a68-b9f6f6fa0db8 · outbound

This paper cites Arbitrary motion style transfer with multi-condition motion latent dif- fusion model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Arbitrary motion style transfer with multi-condition motion latent dif- fusion model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.190635Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e33d960-f6ae-41b6-ad7a-3565b765844a · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Roformer: Enhanced transformer with rotary position embedding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.694067Z

Source-reported events for the cited work

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Observation 23e96630-cb2d-42fc-ae47-2b0c797d2f80 · outbound

This paper cites Lgtm: Local-to-global text- driven human motion diffusion model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Lgtm: Local-to-global text- driven human motion diffusion model

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.179113Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 321901ea-7168-4cc5-967b-c23ecf5c0d8d · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motionclip: Exposing human motion generation to clip space

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.171649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d75dadd6-7904-4543-afcc-ccd0a5ea6fc6 · outbound

This paper cites Human motion diffu- sion model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Human motion diffu- sion model

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.164117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 787375dc-db2a-405d-bdc5-b4921b0184b9 · outbound

This paper cites Attention is all you need.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Attention is all you need

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.705328Z

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Observation 370dbea5-880b-47f6-9edb-73aafb1b3fb1 · outbound

This paper cites Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching

Reference 61

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Observation 940b92b8-8503-4c28-bf2f-1c653b5a57ef · outbound

This paper cites MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.711260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 064134e4-c3ed-4d9f-89cd-a1a7bfcf94ff · outbound

This paper cites Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.714200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba7d1e5-6520-471c-876c-77b869deafbc · outbound

This paper cites OmniControl: Control Any Joint at Any Time for Human Motion Generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm OmniControl: Control Any Joint at Any Time for Human Motion Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.717302Z

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Observation 0ea01515-9608-4e5c-8e91-94e2ac564f66 · outbound

This paper cites UniMuMo: Unified Text, Music and Motion Generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm UniMuMo: Unified Text, Music and Motion Generation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.720297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d0f8b3f-61d2-418c-9417-5525139c7afc · outbound

This paper cites Generating human motion from textual descrip- tions with discrete representations.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Generating human motion from textual descrip- tions with discrete representations

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.152765Z

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Observation 5c661101-30ba-41e0-8dea-6066b3094016 · outbound

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

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.726609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3957aca-b600-49ea-a405-11c33fc1a7d6 · outbound

This paper cites Finemogen: Fine-grained spatio- temporal motion generation and editing.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Finemogen: Fine-grained spatio- temporal motion generation and editing

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.145365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e33b95f4-14f6-439a-8068-524b30ea61d7 · outbound

This paper cites Large motion model for unified multi-modal motion generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Large motion model for unified multi-modal motion generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.137762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5416554-c360-4ad2-8b92-b1120313aa05 · outbound

This paper cites FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.735505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19821d65-4e99-4f07-b783-95e9d608ce89 · outbound

This paper cites Smoodi: Stylized motion diffusion model.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Smoodi: Stylized motion diffusion model

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.130311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 699a9df4-d702-48c4-8d01-da2e19e6b908 · outbound

This paper cites Ude: A unified driv- ing engine for human motion generation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Ude: A unified driv- ing engine for human motion generation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.122585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38a9a5a6-aa0d-4076-acf6-89a2304329e8 · outbound

This paper cites A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-09T12:31:22.743528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81776035-1d90-4076-b7a0-e3c3cb8e87f7 · outbound

This paper cites Avatargpt: All- in-one framework for motion understanding planning gener- ation and beyond.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Avatargpt: All- in-one framework for motion understanding planning gener- ation and beyond

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.114520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7257106f-f314-4125-8bd1-3d7ef68b320c · outbound

This paper cites Demonstration of the difference between diffusion mod- els and rectified flows.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Demonstration of the difference between diffusion mod- els and rectified flows

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.106750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e136804c-5c4f-4876-b3a4-5a05385b6a15 · outbound

This paper cites an unresolved cited work.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:31:23.098625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09562547-0894-46d6-95cc-79a2ef9819d9 · outbound

This paper cites The memory usage and the time spent during inference are summarized in the following Table 7.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm The memory usage and the time spent during inference are summarized in the following Table 7

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.091126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a512897-04c2-4867-99f3-4ffab22e835f · outbound

This paper cites an unresolved cited work.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:31:23.083241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6903e4ef-dcba-4fa3-ae5b-3c51e6db4b31 · outbound

This paper cites w/o task instruction modulation.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm w/o task instruction modulation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.075386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ef9591c-574e-4c13-9f5f-9de805583b60 · outbound

This paper cites Specifically, source motion and target motion are represented as MS ∈ RN ×D and MT ∈ RN ×D, and we first ignore timestep t here.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Specifically, source motion and target motion are represented as MS ∈ RN ×D and MT ∈ RN ×D, and we first ignore timestep t here

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.067733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83237aed-3fee-4bec-9e2d-90c9f650aa96 · outbound

This paper cites an unresolved cited work.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-09T12:31:23.059719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98893896-862c-4ea1-9350-57800604fc3b · outbound

This paper cites We conduct ablation experiments based on the hyperparameters provided by the baseline and finally obtain the above hyperparameters.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm We conduct ablation experiments based on the hyperparameters provided by the baseline and finally obtain the above hyperparameters

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.052099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dfdf2f00-398d-45a9-95d1-5d48b2b9d3fc · outbound

This paper cites reconstruct given masked source motion.

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm reconstruct given masked source motion

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:31:23.043924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

Pith citing papers