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Motion Captioning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Generating textual description for human motion.
논문
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MoTe: Learning Motion-Text Diffusion Model for Multiple Generation Tasks
MotionGPT-2: A General-Purpose Motion-Language Model for Motion Generation and Understanding
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
Transformer with Controlled Attention for Synchronous Motion Captioning
Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Motion2Language, unsupervised learning of synchronized semantic motion segmentation
Guided Attention for Interpretable Motion Captioning
MotionGPT: Human Motion as a Foreign Language
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.