Co-occurring keywords · papers mentioning both
Papers
Motion-2-to-3: Leveraging 2D Motion Data for 3D Motion Generations
ICCV 2025
OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
CVPR 2025
POMP: Physics-consistent Motion Generative Model through Phase Manifolds
CVPR 2025
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
CVPR 2025
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
CVPR 2025
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
CVPR 2025
Video Motion Graphs
ICCV 2025
VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesis
CVPR 2025
ActAnywhere: Subject-Aware Video Background Generation
NeurIPS 2024
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale
ECCV 2024
A Unified Framework for Human-centric Point Cloud Video Understanding
CVPR 2024
DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion
CVPR 2024
DisCo: Disentangled Control for Realistic Human Dance Generation
CVPR 2024
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
CVPR 2024
EgoGen: An Egocentric Synthetic Data Generator
CVPR 2024
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis
AAAI 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Generative Human Motion Stylization in Latent Space
ICLR 2024
HumMUSS: Human Motion Understanding using State Space Models
CVPR 2024
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework
CVPR 2024
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors
CVPR 2024
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
NeurIPS 2024
MoST: Motion Style Transformer Between Diverse Action Contents
CVPR 2024
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
CVPR 2024
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations
NeurIPS 2024