Video Diffusion Models are Training-free Motion Interpreter and Controller
Fuente:
arXiv
Saved in:
| Main Authors: | Xiao, Zeqi, Zhou, Yifan, Yang, Shuai, Pan, Xingang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
by: Zhou, Yifan, et al.
Published: (2025)
by: Zhou, Yifan, et al.
Published: (2025)
Trajectory Attention for Fine-grained Video Motion Control
by: Xiao, Zeqi, et al.
Published: (2024)
by: Xiao, Zeqi, et al.
Published: (2024)
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers
by: Zhou, Yifan, et al.
Published: (2025)
by: Zhou, Yifan, et al.
Published: (2025)
TokensGen: Harnessing Condensed Tokens for Long Video Generation
by: Ouyang, Wenqi, et al.
Published: (2025)
by: Ouyang, Wenqi, et al.
Published: (2025)
WorldMem: Long-term Consistent World Simulation with Memory
by: Xiao, Zeqi, et al.
Published: (2025)
by: Xiao, Zeqi, et al.
Published: (2025)
Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models
by: Fortes, Armando, et al.
Published: (2025)
by: Fortes, Armando, et al.
Published: (2025)
Dense Semantic Matching with VGGT Prior
by: Yang, Songlin, et al.
Published: (2025)
by: Yang, Songlin, et al.
Published: (2025)
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
by: Ouyang, Wenqi, et al.
Published: (2024)
by: Ouyang, Wenqi, et al.
Published: (2024)
Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation
by: Wei, Tianyi, et al.
Published: (2024)
by: Wei, Tianyi, et al.
Published: (2024)
Filter-Guided Diffusion for Controllable Image Generation
by: Gu, Zeqi, et al.
Published: (2023)
by: Gu, Zeqi, et al.
Published: (2023)
Training-free Motion Factorization for Compositional Video Generation
by: Wang, Zixuan, et al.
Published: (2026)
by: Wang, Zixuan, et al.
Published: (2026)
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
by: Ling, Pengyang, et al.
Published: (2024)
by: Ling, Pengyang, et al.
Published: (2024)
FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing
by: Wei, Tianyi, et al.
Published: (2025)
by: Wei, Tianyi, et al.
Published: (2025)
MotionMaster: Training-free Camera Motion Transfer For Video Generation
by: Hu, Teng, et al.
Published: (2024)
by: Hu, Teng, et al.
Published: (2024)
Real-Time Motion-Controllable Autoregressive Video Diffusion
by: Zhao, Kesen, et al.
Published: (2025)
by: Zhao, Kesen, et al.
Published: (2025)
Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Video4Spatial: Towards Visuospatial Intelligence with Context-Guided Video Generation
by: Xiao, Zeqi, et al.
Published: (2025)
by: Xiao, Zeqi, et al.
Published: (2025)
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
by: Wang, Boyuan, et al.
Published: (2025)
by: Wang, Boyuan, et al.
Published: (2025)
Latent-Reframe: Enabling Camera Control for Video Diffusion Model without Training
by: Zhou, Zhenghong, et al.
Published: (2024)
by: Zhou, Zhenghong, et al.
Published: (2024)
Motion-aware Latent Diffusion Models for Video Frame Interpolation
by: Huang, Zhilin, et al.
Published: (2024)
by: Huang, Zhilin, et al.
Published: (2024)
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models
by: Ren, Yixuan, et al.
Published: (2024)
by: Ren, Yixuan, et al.
Published: (2024)
Decoupled Video Generation with Chain of Training-free Diffusion Model Experts
by: Li, Wenhao, et al.
Published: (2024)
by: Li, Wenhao, et al.
Published: (2024)
Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models
by: Xing, Zhening, et al.
Published: (2024)
by: Xing, Zhening, et al.
Published: (2024)
MvDrag3D: Drag-based Creative 3D Editing via Multi-view Generation-Reconstruction Priors
by: Chen, Honghua, et al.
Published: (2024)
by: Chen, Honghua, et al.
Published: (2024)
Training-free Camera Control for Video Generation
by: Hou, Chen, et al.
Published: (2024)
by: Hou, Chen, et al.
Published: (2024)
MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation
by: Shi, Shuwei, et al.
Published: (2024)
by: Shi, Shuwei, et al.
Published: (2024)
FlowMotion: Training-Free Flow Guidance for Video Motion Transfer
by: Wang, Zhen, et al.
Published: (2026)
by: Wang, Zhen, et al.
Published: (2026)
TVG: A Training-free Transition Video Generation Method with Diffusion Models
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Moaw: Unleashing Motion Awareness for Video Diffusion Models
by: Zhang, Tianqi, et al.
Published: (2026)
by: Zhang, Tianqi, et al.
Published: (2026)
Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
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)
Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion
by: Zhou, Zhenghong, et al.
Published: (2026)
by: Zhou, Zhenghong, et al.
Published: (2026)
LightCtrl: Training-free Controllable Video Relighting
by: Peng, Yizuo, et al.
Published: (2026)
by: Peng, Yizuo, et al.
Published: (2026)
Training-free Diffusion Acceleration with Bottleneck Sampling
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
by: Zhai, Yuanhao, et al.
Published: (2024)
by: Zhai, Yuanhao, et al.
Published: (2024)
OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
by: Samuel, Dvir, et al.
Published: (2025)
by: Samuel, Dvir, et al.
Published: (2025)
MVIP-NeRF: Multi-view 3D Inpainting on NeRF Scenes via Diffusion Prior
by: Chen, Honghua, et al.
Published: (2024)
by: Chen, Honghua, et al.
Published: (2024)
3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
by: Luo, Yihang, et al.
Published: (2024)
by: Luo, Yihang, et al.
Published: (2024)
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
by: Xiao, Lixing, et al.
Published: (2025)
by: Xiao, Lixing, et al.
Published: (2025)
ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video Generation
by: Yang, Shaoshu, et al.
Published: (2024)
by: Yang, Shaoshu, et al.
Published: (2024)
Similar Items
-
Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
by: Zhou, Yifan, et al.
Published: (2025) -
Trajectory Attention for Fine-grained Video Motion Control
by: Xiao, Zeqi, et al.
Published: (2024) -
Trainable Log-linear Sparse Attention for Efficient Diffusion Transformers
by: Zhou, Yifan, et al.
Published: (2025) -
TokensGen: Harnessing Condensed Tokens for Long Video Generation
by: Ouyang, Wenqi, et al.
Published: (2025) -
WorldMem: Long-term Consistent World Simulation with Memory
by: Xiao, Zeqi, et al.
Published: (2025)