Tracking everything everywhere all at once
We present a new test-time optimization method for estimating dense and long-range motion
from a video sequence. Prior optical flow or particle video tracking algorithms typically …
from a video sequence. Prior optical flow or particle video tracking algorithms typically …
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis
We present a method that simultaneously addresses the tasks of dynamic scene novel-view
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We …
[HTML][HTML] Tracking and mapping in medical computer vision: A review
As computer vision algorithms increase in capability, their applications in clinical systems
will become more pervasive. These applications include: diagnostics, such as colonoscopy …
will become more pervasive. These applications include: diagnostics, such as colonoscopy …
Videoswap: Customized video subject swapping with interactive semantic point correspondence
Current diffusion-based video editing primarily focuses on structure-preserved editing by
utilizing various dense correspondences to ensure temporal consistency and motion …
utilizing various dense correspondences to ensure temporal consistency and motion …
Dense optical tracking: connecting the dots
Recent approaches to point tracking are able to recover the trajectory of any scene point
through a large portion of a video despite the presence of occlusions. They are however too …
through a large portion of a video despite the presence of occlusions. They are however too …
Segment anything meets point tracking
The Segment Anything Model (SAM) has established itself as a powerful zero-shot image
segmentation model, employing interactive prompts such as points to generate masks. This …
segmentation model, employing interactive prompts such as points to generate masks. This …
Robotap: Tracking arbitrary points for few-shot visual imitation
For robots to be useful outside labs and specialized factories we need a way to teach them
new useful behaviors quickly. Current approaches lack either the generality to onboard new …
new useful behaviors quickly. Current approaches lack either the generality to onboard new …
Mft: Long-term tracking of every pixel
Abstract We propose MFT--Multi-Flow dense Tracker--a novel method for dense, pixel-level,
long-term tracking. The approach exploits optical flows estimated not only between …
long-term tracking. The approach exploits optical flows estimated not only between …
Md-splatting: Learning metric deformation from 4d gaussians in highly deformable scenes
Accurate 3D tracking in highly deformable scenes with occlusions and shadows can
facilitate new applications in robotics, augmented reality, and generative AI. However …
facilitate new applications in robotics, augmented reality, and generative AI. However …