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Found 4 papers, 3 papers with code
Human Motion Diffusion Model
In this paper, we introduce Motion Diffusion Model (MDM), a carefully adapted classifier-free diffusion-based generative model for the human motion domain.
Ranked #1 on
Motion Synthesis
on HumanAct12
MotionCLIP: Exposing Human Motion Generation to CLIP Space
MotionCLIP gains its unique power by aligning its latent space with that of the Contrastive Language-Image Pre-training (CLIP) model.
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction
We compare our model to state-of-the-art methods that are not ep-free and show that in the absence of camera parameters, we outperform them by a large margin while obtaining comparable results when camera parameters are available.
Ranked #12 on
3D Human Pose Estimation
on Human3.6M
Corpus Development for Studying Online Disinformation Campaign: A Narrative + Stance Approach
Instead, we label the narrative and stance of tweets and YouTube comments about White Helmets.
