Autoregressive Flow Matching for Motion Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Johnathan, Stojanov, Stefan, Eyzaguirre, Cristobal, Yamins, Daniel L. K., Wu, Jiajun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Weakly-Supervised Learning of Dense Functional Correspondences
by: Stojanov, Stefan, et al.
Published: (2025)
by: Stojanov, Stefan, et al.
Published: (2025)
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
by: Stojanov, Stefan, et al.
Published: (2025)
by: Stojanov, Stefan, et al.
Published: (2025)
Taming generative video models for zero-shot optical flow extraction
by: Kim, Seungwoo, et al.
Published: (2025)
by: Kim, Seungwoo, et al.
Published: (2025)
Linear Scaling Video VLMs for Long Video Understanding
by: Eyzaguirre, Cristobal, et al.
Published: (2026)
by: Eyzaguirre, Cristobal, et al.
Published: (2026)
Streaming Detection of Queried Event Start
by: Eyzaguirre, Cristobal, et al.
Published: (2024)
by: Eyzaguirre, Cristobal, et al.
Published: (2024)
TrajFlow: Multi-modal Motion Prediction via Flow Matching
by: Yan, Qi, et al.
Published: (2025)
by: Yan, Qi, et al.
Published: (2025)
Understanding Complexity in VideoQA via Visual Program Generation
by: Eyzaguirre, Cristobal, et al.
Published: (2025)
by: Eyzaguirre, Cristobal, et al.
Published: (2025)
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
by: Ren, Sucheng, et al.
Published: (2024)
by: Ren, Sucheng, et al.
Published: (2024)
Physical Object Understanding with a Physically Controllable World Model
by: Venkatesh, Rahul, et al.
Published: (2026)
by: Venkatesh, Rahul, et al.
Published: (2026)
EgoFlow: Gradient-Guided Flow Matching for Egocentric 6DoF Object Motion Generation
by: Saroha, Abhishek, et al.
Published: (2026)
by: Saroha, Abhishek, et al.
Published: (2026)
DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction
by: Liu, Yiheng, et al.
Published: (2025)
by: Liu, Yiheng, et al.
Published: (2025)
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences
by: Long, Bria, et al.
Published: (2024)
by: Long, Bria, et al.
Published: (2024)
Spot The Ball: A Benchmark for Visual Social Inference
by: Balamurugan, Neha, et al.
Published: (2025)
by: Balamurugan, Neha, et al.
Published: (2025)
Causal Motion Diffusion Models for Autoregressive Motion Generation
by: Yu, Qing, et al.
Published: (2026)
by: Yu, Qing, et al.
Published: (2026)
ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation
by: Hwang, Inwoo, et al.
Published: (2026)
by: Hwang, Inwoo, et al.
Published: (2026)
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2024)
by: Jia, Xiaosong, et al.
Published: (2024)
ARFlow: Autoregressive Flow with Hybrid Linear Attention
by: Hui, Mude, et al.
Published: (2025)
by: Hui, Mude, et al.
Published: (2025)
The Amazing Stability of Flow Matching
by: Briq, Rania, et al.
Published: (2026)
by: Briq, Rania, et al.
Published: (2026)
BAMM: Bidirectional Autoregressive Motion Model
by: Pinyoanuntapong, Ekkasit, et al.
Published: (2024)
by: Pinyoanuntapong, Ekkasit, et al.
Published: (2024)
The Velocity Deficit: Initial Energy Injection for Flow Matching
by: Li, Linze, et al.
Published: (2026)
by: Li, Linze, et al.
Published: (2026)
OmniMotion: Multimodal Motion Generation with Continuous Masked Autoregression
by: Li, Zhe, et al.
Published: (2025)
by: Li, Zhe, et al.
Published: (2025)
Unified Number-Free Text-to-Motion Generation Via Flow Matching
by: Huang, Guanhe, et al.
Published: (2026)
by: Huang, Guanhe, et al.
Published: (2026)
ProjFlow: Projection Sampling with Flow Matching for Zero-Shot Exact Spatial Motion Control
by: Watanabe, Akihisa, et al.
Published: (2026)
by: Watanabe, Akihisa, et al.
Published: (2026)
DyStream: Streaming Dyadic Talking Heads Generation via Flow Matching-based Autoregressive Model
by: Chen, Bohong, et al.
Published: (2025)
by: Chen, Bohong, et al.
Published: (2025)
MotionFlux: Efficient Text-Guided Motion Generation through Rectified Flow Matching and Preference Alignment
by: Gao, Zhiting, et al.
Published: (2025)
by: Gao, Zhiting, et al.
Published: (2025)
Discovering and using Spelke segments
by: Venkatesh, Rahul, et al.
Published: (2025)
by: Venkatesh, Rahul, et al.
Published: (2025)
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models
by: Thai, Anh, et al.
Published: (2025)
by: Thai, Anh, et al.
Published: (2025)
ZeroShape: Regression-based Zero-shot Shape Reconstruction
by: Huang, Zixuan, et al.
Published: (2023)
by: Huang, Zixuan, et al.
Published: (2023)
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow
by: Maeda, Takahiro, et al.
Published: (2025)
by: Maeda, Takahiro, et al.
Published: (2025)
Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, et al.
Published: (2024)
T*: Re-thinking Temporal Search for Long-Form Video Understanding
by: Ye, Jinhui, et al.
Published: (2025)
by: Ye, Jinhui, et al.
Published: (2025)
Lifting Motion to the 3D World via 2D Diffusion
by: Li, Jiaman, et al.
Published: (2024)
by: Li, Jiaman, et al.
Published: (2024)
Boosting Latent Diffusion with Flow Matching
by: Schusterbauer, Johannes, et al.
Published: (2023)
by: Schusterbauer, Johannes, et al.
Published: (2023)
MoSa: Motion Generation with Scalable Autoregressive Modeling
by: Liu, Mengyuan, et al.
Published: (2025)
by: Liu, Mengyuan, et al.
Published: (2025)
Real-Time Motion-Controllable Autoregressive Video Diffusion
by: Zhao, Kesen, et al.
Published: (2025)
by: Zhao, Kesen, et al.
Published: (2025)
Next-Scale Autoregressive Models for Text-to-Motion Generation
by: Zheng, Zhiwei, et al.
Published: (2026)
by: Zheng, Zhiwei, et al.
Published: (2026)
Coordinate-Based Dual-Constrained Autoregressive Motion Generation
by: Ding, Kang, et al.
Published: (2026)
by: Ding, Kang, et al.
Published: (2026)
FREE: Uncertainty-Aware Autoregression for Parallel Diffusion Transformers
by: Wen, Xinwan, et al.
Published: (2025)
by: Wen, Xinwan, et al.
Published: (2025)
MT-EditFlow: Reinforcement Learning for Multi-Turn Image Editing with Flow Matching
by: Huang, Jiahui, et al.
Published: (2026)
by: Huang, Jiahui, et al.
Published: (2026)
3D Scene Understanding Through Local Random Access Sequence Modeling
by: Lee, Wanhee, et al.
Published: (2025)
by: Lee, Wanhee, et al.
Published: (2025)
Similar Items
-
Weakly-Supervised Learning of Dense Functional Correspondences
by: Stojanov, Stefan, et al.
Published: (2025) -
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
by: Stojanov, Stefan, et al.
Published: (2025) -
Taming generative video models for zero-shot optical flow extraction
by: Kim, Seungwoo, et al.
Published: (2025) -
Linear Scaling Video VLMs for Long Video Understanding
by: Eyzaguirre, Cristobal, et al.
Published: (2026) -
Streaming Detection of Queried Event Start
by: Eyzaguirre, Cristobal, et al.
Published: (2024)