Realistic Human Motion Generation with Cross-Diffusion Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Ren, Zeping, Huang, Shaoli, Li, Xiu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
HoloGest: Decoupled Diffusion and Motion Priors for Generating Holisticly Expressive Co-speech Gestures
por: Cheng, Yongkang, et al.
Publicado: (2025)
por: Cheng, Yongkang, et al.
Publicado: (2025)
ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model
por: Han, Gaoge, et al.
Publicado: (2024)
por: Han, Gaoge, et al.
Publicado: (2024)
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
por: Liu, Xian, et al.
Publicado: (2023)
por: Liu, Xian, et al.
Publicado: (2023)
Programmable Motion Generation for Open-Set Motion Control Tasks
por: Liu, Hanchao, et al.
Publicado: (2024)
por: Liu, Hanchao, et al.
Publicado: (2024)
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior
por: Liang, Mingjiang, et al.
Publicado: (2024)
por: Liang, Mingjiang, et al.
Publicado: (2024)
CoMoVi: Co-Generation of 3D Human Motions and Realistic Videos
por: Zhao, Chengfeng, et al.
Publicado: (2026)
por: Zhao, Chengfeng, et al.
Publicado: (2026)
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
por: Lin, Yukang, et al.
Publicado: (2025)
por: Lin, Yukang, et al.
Publicado: (2025)
Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction
por: Curreli, Cecilia, et al.
Publicado: (2025)
por: Curreli, Cecilia, et al.
Publicado: (2025)
Human-Object Interaction via Automatically Designed VLM-Guided Motion Policy
por: Deng, Zekai, et al.
Publicado: (2025)
por: Deng, Zekai, et al.
Publicado: (2025)
OmniMotion-X: Versatile Multimodal Whole-Body Motion Generation
por: Xu, Guowei, et al.
Publicado: (2025)
por: Xu, Guowei, et al.
Publicado: (2025)
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
por: Yu, Zhengdi, et al.
Publicado: (2023)
por: Yu, Zhengdi, et al.
Publicado: (2023)
Text-driven Human Motion Generation with Motion Masked Diffusion Model
por: Chen, Xingyu
Publicado: (2024)
por: Chen, Xingyu
Publicado: (2024)
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation
por: Lin, Yukang, et al.
Publicado: (2025)
por: Lin, Yukang, et al.
Publicado: (2025)
RDM: Recurrent Diffusion Model for Human Motion Generation
por: Mohamed, Mirgahney, et al.
Publicado: (2024)
por: Mohamed, Mirgahney, et al.
Publicado: (2024)
Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection
por: Hu, Yupeng, et al.
Publicado: (2025)
por: Hu, Yupeng, et al.
Publicado: (2025)
Toward Safe, Trustworthy and Realistic Augmented Reality User Experience
por: Xiu, Yanming
Publicado: (2025)
por: Xiu, Yanming
Publicado: (2025)
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
por: Zhang, Ziran, et al.
Publicado: (2025)
por: Zhang, Ziran, et al.
Publicado: (2025)
Can Pose Transfer Models Generate Realistic Human Motion?
por: Knapp, Vaclav, et al.
Publicado: (2025)
por: Knapp, Vaclav, et al.
Publicado: (2025)
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring
por: Yang, Zhongbao, et al.
Publicado: (2024)
por: Yang, Zhongbao, et al.
Publicado: (2024)
Shape Conditioned Human Motion Generation with Diffusion Model
por: Xue, Kebing, et al.
Publicado: (2024)
por: Xue, Kebing, et al.
Publicado: (2024)
Physics-Aware Diffusion for LiDAR Point Cloud Densification
por: Zhang, Zeping, et al.
Publicado: (2026)
por: Zhang, Zeping, et al.
Publicado: (2026)
HumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video Generation
por: Gan, Qijun, et al.
Publicado: (2025)
por: Gan, Qijun, et al.
Publicado: (2025)
Guiding Human-Object Interactions with Rich Geometry and Relations
por: Xue, Mengqing, et al.
Publicado: (2025)
por: Xue, Mengqing, et al.
Publicado: (2025)
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
por: Wang, Jiangang, et al.
Publicado: (2024)
por: Wang, Jiangang, et al.
Publicado: (2024)
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
por: Jin, Peng, et al.
Publicado: (2024)
por: Jin, Peng, et al.
Publicado: (2024)
SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation
por: Watanabe, Akihisa, et al.
Publicado: (2025)
por: Watanabe, Akihisa, et al.
Publicado: (2025)
GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior
por: Tang, Zichen, et al.
Publicado: (2025)
por: Tang, Zichen, et al.
Publicado: (2025)
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
por: Xue, Yuxuan, et al.
Publicado: (2024)
por: Xue, Yuxuan, et al.
Publicado: (2024)
Causal Motion Diffusion Models for Autoregressive Motion Generation
por: Yu, Qing, et al.
Publicado: (2026)
por: Yu, Qing, et al.
Publicado: (2026)
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
por: Xia, Songpengcheng, et al.
Publicado: (2024)
por: Xia, Songpengcheng, et al.
Publicado: (2024)
LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
por: Sun, Haowen, et al.
Publicado: (2024)
por: Sun, Haowen, et al.
Publicado: (2024)
Text-guided Controllable Diffusion for Realistic Camouflage Images Generation
por: Qian, Yuhang, et al.
Publicado: (2025)
por: Qian, Yuhang, et al.
Publicado: (2025)
DRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
por: Huang, Enbo, et al.
Publicado: (2024)
por: Huang, Enbo, et al.
Publicado: (2024)
A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
por: Qu, Wentao, et al.
Publicado: (2025)
por: Qu, Wentao, et al.
Publicado: (2025)
MotionCrafter: One-Shot Motion Customization of Diffusion Models
por: Zhang, Yuxin, et al.
Publicado: (2023)
por: Zhang, Yuxin, et al.
Publicado: (2023)
Harmonious Group Choreography with Trajectory-Controllable Diffusion
por: Dai, Yuqin, et al.
Publicado: (2024)
por: Dai, Yuqin, et al.
Publicado: (2024)
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
por: Yang, Yuxiao, et al.
Publicado: (2025)
por: Yang, Yuxiao, et al.
Publicado: (2025)
Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning
por: Liu, Mengyuan, et al.
Publicado: (2025)
por: Liu, Mengyuan, et al.
Publicado: (2025)
DeMoGen: Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models
por: Zhang, Jianrong, et al.
Publicado: (2025)
por: Zhang, Jianrong, et al.
Publicado: (2025)
MixerMDM: Learnable Composition of Human Motion Diffusion Models
por: Ruiz-Ponce, Pablo, et al.
Publicado: (2025)
por: Ruiz-Ponce, Pablo, et al.
Publicado: (2025)
Ejemplares similares
-
HoloGest: Decoupled Diffusion and Motion Priors for Generating Holisticly Expressive Co-speech Gestures
por: Cheng, Yongkang, et al.
Publicado: (2025) -
ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model
por: Han, Gaoge, et al.
Publicado: (2024) -
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
por: Liu, Xian, et al.
Publicado: (2023) -
Programmable Motion Generation for Open-Set Motion Control Tasks
por: Liu, Hanchao, et al.
Publicado: (2024) -
RopeTP: Global Human Motion Recovery via Integrating Robust Pose Estimation with Diffusion Trajectory Prior
por: Liang, Mingjiang, et al.
Publicado: (2024)