Skip to content
conftrace_

human motion

108 papers

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