Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
cs.CV
Submitted: 2026-08-10
Updated: 2026-10-10
Comments: Accepted by NeurIPS 2026 main track
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- V-DPM: 4D Video Reconstruction with Dynamic Point Maps
- Trace Anything: Representing Any Video in 4D via Trajectory Fields
- Flow Matching for Generative Modeling
- Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
- Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets
- Animate124: Animating One Image to 4D Dynamic Scene
- Make-A-Video: Text-to-Video Generation without Text-Video Data
- Wan: Open and Advanced Large-Scale Video Generative Models
- Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model
- DreamFusion: Text-to-3D using 2D Diffusion
- Choreographing a World of Dynamic Objects
- SeeU: Seeing the Unseen World via 4D Dynamics-aware Generation
- Spatial-Temporal State Propagation Autoregressive Model for 4D Object Generation
- $\pi^3$: Permutation-Equivariant Visual Geometry Learning
- Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
- FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models
- Improving and generalizing flow-based generative models with minibatch optimal transport
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
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