Motion Estimation
209 papers with code • 0 benchmarks • 10 datasets
Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.
Benchmarks
These leaderboards are used to track progress in Motion Estimation
Libraries
Use these libraries to find Motion Estimation models and implementationsDatasets
DDD17
PST900
SegTHOR
EV-IMO
Fisheye
VBR
Headcam
Retinal Microsurgery
Latest papers with no code
Instantaneous Perception of Moving Objects in 3D
Specifically, due to the lack of correspondences between consecutive frames of sparse Lidar point clouds, static objects might appear to be moving - the so-called swimming effect.
Camera Motion Estimation from RGB-D-Inertial Scene Flow
In this paper, we introduce a novel formulation for camera motion estimation that integrates RGB-D images and inertial data through scene flow.
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
In the next stage, we use an object network to estimate the depth of those moving objects assuming rigid motions.
3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation
To ensure the generation of finer facial region with natural-background, our framework only renders the facial foreground region first and learns to inpaint the blank area which needs to be filled due to source face translation, thus reconstructing the detailed background without any unwanted pixel motion.
Motion-aware Latent Diffusion Models for Video Frame Interpolation
With the advancement of AIGC, video frame interpolation (VFI) has become a crucial component in existing video generation frameworks, attracting widespread research interest.
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
In particular, we use a motion estimation network to capture motion information from neighborhoods, thereby adaptively estimating spatially-variant motion flow, mask, kernels, weights, and offsets to obtain the MISC Filter.
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos.
MOWA: Multiple-in-One Image Warping Model
To our knowledge, this is the first work that solves multiple practical warping tasks in one single model.
Space-Time Video Super-resolution with Neural Operator
This paper addresses the task of space-time video super-resolution (ST-VSR).
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
To recover the full linear camera velocity we fuse observations from multiple lines with a novel velocity averaging scheme that relies on a geometrically-motivated residual, and thus solves the problem more efficiently than previous schemes which minimize an algebraic residual.
