Copertina

Diffusion Model-based Activity Completion for AI Motion Capture from Videos

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huayu, Gao, Tengjiu, Huang, Xiaolong, Ye, Okita, Tsuyoshi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Image Classification Using a Diffusion Model as a Pre-Training Model
di: Ukita, Kosuke, et al.
Pubblicazione: (2025)

Multi-instance Learning as Downstream Task of Self-Supervised Learning-based Pre-trained Model
di: Matsuishi, Koki, et al.
Pubblicazione: (2025)

Multimodal Foundation Model for Cross-Modal Retrieval and Activity Recognition Tasks
di: Matsuishi, Koki, et al.
Pubblicazione: (2025)

Brain Hematoma Marker Recognition Using Multitask Learning: SwinTransformer and Swin-Unet
di: Hirata, Kodai, et al.
Pubblicazione: (2025)

Thoughts on Objectives of Sparse and Hierarchical Masked Image Model
di: Miyazaki, Asahi, et al.
Pubblicazione: (2025)

Detecting Informative Channels: ActionFormer
di: Zhao, Kunpeng, et al.
Pubblicazione: (2025)

Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
di: Park, Geon Yeong, et al.
Pubblicazione: (2024)

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
di: Yu, Sihyun, et al.
Pubblicazione: (2024)

MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching
di: Wu, Yen-Siang, et al.
Pubblicazione: (2025)

MotionStream: Real-Time Video Generation with Interactive Motion Controls
di: Shin, Joonghyuk, et al.
Pubblicazione: (2025)

Video Motion Transfer with Diffusion Transformers
di: Pondaven, Alexander, et al.
Pubblicazione: (2024)

Direct Motion Models for Assessing Generated Videos
di: Allen, Kelsey, et al.
Pubblicazione: (2025)

LLVD: LSTM-based Explicit Motion Modeling in Latent Space for Blind Video Denoising
di: Rashid, Loay, et al.
Pubblicazione: (2025)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
di: Ganjdanesh, Alireza, et al.
Pubblicazione: (2024)

Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models
di: AlDahoul, Nouar, et al.
Pubblicazione: (2026)

Vid2World: Crafting Video Diffusion Models to Interactive World Models
di: Huang, Siqiao, et al.
Pubblicazione: (2025)

Scaling Large Motion Models with Million-Level Human Motions
di: Wang, Ye, et al.
Pubblicazione: (2024)

Unlearning Concepts from Text-to-Video Diffusion Models
di: Liu, Shiqi, et al.
Pubblicazione: (2024)

Progressive Autoregressive Video Diffusion Models
di: Xie, Desai, et al.
Pubblicazione: (2024)

Video Diffusion Models: A Survey
di: Melnik, Andrew, et al.
Pubblicazione: (2024)

Flexible Motion In-betweening with Diffusion Models
di: Cohan, Setareh, et al.
Pubblicazione: (2024)

DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
di: Ye, Hanrong, et al.
Pubblicazione: (2024)

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
di: Jeong, Hyeonho, et al.
Pubblicazione: (2024)

One Step Learning, One Step Review
di: Huang, Xiaolong, et al.
Pubblicazione: (2024)

Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
di: Bompai, Stelio, et al.
Pubblicazione: (2026)

Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
di: Deng, Kaiyuan, et al.
Pubblicazione: (2026)

Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models
di: Fan, Weichen, et al.
Pubblicazione: (2025)

AVID: Adapting Video Diffusion Models to World Models
di: Rigter, Marc, et al.
Pubblicazione: (2024)

Solving Video Inverse Problems Using Image Diffusion Models
di: Kwon, Taesung, et al.
Pubblicazione: (2024)

From Diffusion to Flow: Efficient Motion Generation in MotionGPT3
di: Ban, Jaymin, et al.
Pubblicazione: (2026)

Lifelong Learning of Video Diffusion Models From a Single Video Stream
di: Yoo, Jason, et al.
Pubblicazione: (2024)

Image Motion Blur Removal in the Temporal Dimension with Video Diffusion Models
di: Pang, Wang, et al.
Pubblicazione: (2025)

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models
di: Jeong, Hyeonho, et al.
Pubblicazione: (2023)

From Mesh Completion to AI Designed Crown
di: Hosseinimanesh, Golriz, et al.
Pubblicazione: (2025)

Semantically Consistent Video Inpainting with Conditional Diffusion Models
di: Green, Dylan, et al.
Pubblicazione: (2024)

From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
di: Pukanec, Dávid, et al.
Pubblicazione: (2026)

Corruption-Aware Training of Latent Video Diffusion Models for Robust Text-to-Video Generation
di: Maduabuchi, Chika, et al.
Pubblicazione: (2025)

InverseCrafter: Efficient Video ReCapture as a Latent Domain Inverse Problem
di: Hong, Yeobin, et al.
Pubblicazione: (2025)

CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
di: Sun, Jiarui, et al.
Pubblicazione: (2023)

Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models
di: Zhang, Ci, et al.
Pubblicazione: (2026)