Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Hongsong, Xu, Andi, Ding, Pinle, Gui, Jie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Coordinate-Based Dual-Constrained Autoregressive Motion Generation
by: Ding, Kang, et al.
Published: (2026)
by: Ding, Kang, et al.
Published: (2026)
Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)
by: Kuang, Jidong, et al.
Published: (2026)
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
by: Bi, Yuquan, et al.
Published: (2025)
by: Bi, Yuquan, et al.
Published: (2025)
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
by: Tan, Xiaofeng, et al.
Published: (2024)
by: Tan, Xiaofeng, et al.
Published: (2024)
Towards Universal Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)
by: Kuang, Jidong, et al.
Published: (2026)
Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning
by: Ding, Kang, et al.
Published: (2026)
by: Ding, Kang, et al.
Published: (2026)
Heterogeneous Skeleton-Based Action Representation Learning
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Region-aware Image-based Human Action Retrieval with Transformers
by: Wang, Hongsong, et al.
Published: (2024)
by: Wang, Hongsong, et al.
Published: (2024)
Point-Supervised Skeleton-Based Human Action Segmentation
by: Wang, Hongsong, et al.
Published: (2026)
by: Wang, Hongsong, et al.
Published: (2026)
Multimodal Skeleton-Based Action Representation Learning via Decomposition and Composition
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment
by: Kuang, Jidong, et al.
Published: (2024)
by: Kuang, Jidong, et al.
Published: (2024)
EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
LOTA: Bit-Planes Guided AI-Generated Image Detection
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Training-Free Zero-Shot Temporal Action Detection with Vision-Language Models
by: Han, Chaolei, et al.
Published: (2025)
by: Han, Chaolei, et al.
Published: (2025)
Video Anomaly Detection with Motion and Appearance Guided Patch Diffusion Model
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Data-Free Class-Incremental Gesture Recognition with Prototype-Guided Pseudo Feature Replay
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
Structure-Aware Fine-Grained Gaussian Splatting for Expressive Avatar Reconstruction
by: Su, Yuze, et al.
Published: (2026)
by: Su, Yuze, et al.
Published: (2026)
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
by: Zhan, Jiawei, et al.
Published: (2024)
by: Zhan, Jiawei, et al.
Published: (2024)
Dragging with Geometry: From Pixels to Geometry-Guided Image Editing
by: Pu, Xinyu, et al.
Published: (2025)
by: Pu, Xinyu, et al.
Published: (2025)
Attribution as Retrieval: Model-Agnostic AI-Generated Image Attribution
by: Wang, Hongsong, et al.
Published: (2026)
by: Wang, Hongsong, et al.
Published: (2026)
OZ-TAL: Online Zero-Shot Temporal Action Localization
by: Han, Chaolei, et al.
Published: (2026)
by: Han, Chaolei, et al.
Published: (2026)
Pseudo Anomalies Are All You Need: Diffusion-Based Generation for Weakly-Supervised Video Anomaly Detection
by: Hashimoto, Satoshi, et al.
Published: (2025)
by: Hashimoto, Satoshi, et al.
Published: (2025)
Anomaly Detection with Conditioned Denoising Diffusion Models
by: Mousakhan, Arian, et al.
Published: (2023)
by: Mousakhan, Arian, et al.
Published: (2023)
IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
by: Zhao, Yang, et al.
Published: (2025)
by: Zhao, Yang, et al.
Published: (2025)
Dual Prototype-Conditioned Diffusion Model for Scalable Multi-Class Unsupervised Anomaly Detection in Large Category Spaces
by: Feng, Yaoxuan, et al.
Published: (2026)
by: Feng, Yaoxuan, et al.
Published: (2026)
PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation
by: Wang, Hongsong, et al.
Published: (2025)
by: Wang, Hongsong, et al.
Published: (2025)
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
by: Yang, Yuxiao, et al.
Published: (2025)
by: Yang, Yuxiao, et al.
Published: (2025)
DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
by: Jung, Seoik, et al.
Published: (2025)
by: Jung, Seoik, et al.
Published: (2025)
COPRA: Conditional Parameter Adaptation with Reinforcement Learning for Video Anomaly Detection
by: Jacob, Darryl Cherian, et al.
Published: (2026)
by: Jacob, Darryl Cherian, et al.
Published: (2026)
SplatPose+: Real-time Image-Based Pose-Agnostic 3D Anomaly Detection
by: Liu, Yizhe, et al.
Published: (2024)
by: Liu, Yizhe, et al.
Published: (2024)
Temporal Consistency-Aware Text-to-Motion Generation
by: Wang, Hongsong, et al.
Published: (2026)
by: Wang, Hongsong, et al.
Published: (2026)
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
by: Karami, Ali, et al.
Published: (2024)
by: Karami, Ali, et al.
Published: (2024)
HumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video Generation
by: Gan, Qijun, et al.
Published: (2025)
by: Gan, Qijun, et al.
Published: (2025)
DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection
by: An, Dezhi, et al.
Published: (2025)
by: An, Dezhi, et al.
Published: (2025)
MotionRFT: Unified Reinforcement Fine-Tuning for Text-to-Motion Generation
by: Tan, Xiaofeng, et al.
Published: (2026)
by: Tan, Xiaofeng, et al.
Published: (2026)
LaMD: Latent Motion Diffusion for Image-Conditional Video Generation
by: Hu, Yaosi, et al.
Published: (2023)
by: Hu, Yaosi, et al.
Published: (2023)
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
by: Tan, Xiaofeng, et al.
Published: (2024)
by: Tan, Xiaofeng, et al.
Published: (2024)
Controllable Dance Generation with Style-Guided Motion Diffusion
by: Wang, Hongsong, et al.
Published: (2024)
by: Wang, Hongsong, et al.
Published: (2024)
Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion
by: Ji, Longbin, et al.
Published: (2025)
by: Ji, Longbin, et al.
Published: (2025)
Similar Items
-
Coordinate-Based Dual-Constrained Autoregressive Motion Generation
by: Ding, Kang, et al.
Published: (2026) -
Marrying Text-to-Motion Generation with Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026) -
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
by: Bi, Yuquan, et al.
Published: (2025) -
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
by: Tan, Xiaofeng, et al.
Published: (2024) -
Towards Universal Skeleton-Based Action Recognition
by: Kuang, Jidong, et al.
Published: (2026)