Papers with Code 아카이브
Stochastic Human Motion Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Stochastic Human Motion Prediction assumes future stochasticity and therefore tackles the task from a generative point of view. Instead of predicting a single future, it predicts N possible futures.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction
GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion Prediction
Stochastic Multi-Person 3D Motion Forecasting
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.