SOTAVerified

Motion Captioning

Generating textual description for human motion.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 11 papers

TitleStatusHype
MotionGPT: Human Motion as a Foreign LanguageCode3
Motion-Agent: A Conversational Framework for Human Motion Generation with LLMsCode2
Motion2Language, unsupervised learning of synchronized semantic motion segmentationCode1
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and TextsCode1
Transformer with Controlled Attention for Synchronous Motion CaptioningCode0
Guided Attention for Interpretable Motion CaptioningCode0
MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding—0
MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks—0
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning—0
GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities—0
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All datasetsHumanML3DKIT Motion-Language

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST-MLPBLEU-425—Unverified
2MLP+GRUBLEU-423.4—Unverified
3TM2TBLEU-422.3—Unverified
4MotionGPTBLEU-412.47—Unverified
#ModelMetricClaimedVerifiedStatus
1MLP+GRUBLEU-425.4—Unverified
2ST-MLPBLEU-424.4—Unverified
3TM2TBLEU-418.4—Unverified