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Motion Estimation

24 papers with code · Computer Vision

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Unsupervised Learning of Depth and Ego-Motion from Video

CVPR 2017 tinghuiz/SfMLearner

We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences.

DEPTH AND CAMERA MOTION MOTION ESTIMATION POSE ESTIMATION

GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose

CVPR 2018 yzcjtr/GeoNet

We propose GeoNet, a jointly unsupervised learning framework for monocular depth, optical flow and ego-motion estimation from videos.

IMAGE RECONSTRUCTION MOTION ESTIMATION OPTICAL FLOW ESTIMATION

QuaterNet: A Quaternion-based Recurrent Model for Human Motion

16 May 2018facebookresearch/QuaterNet

Deep learning for predicting or generating 3D human pose sequences is an active research area.

3D HUMAN POSE ESTIMATION MOTION ESTIMATION

On human motion prediction using recurrent neural networks

CVPR 2017 facebookresearch/QuaterNet

Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality.

MOTION ESTIMATION

Spatio-temporal video autoencoder with differentiable memory

19 Nov 2015viorik/ConvLSTM

At each time step, the system receives as input a video frame, predicts the optical flow based on the current observation and the LSTM memory state as a dense transformation map, and applies it to the current frame to generate the next frame.

MOTION ESTIMATION OPTICAL FLOW ESTIMATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

CVPR 2019 anuragranj/ac

We address the unsupervised learning of several interconnected problems in low-level vision: single view depth prediction, camera motion estimation, optical flow, and segmentation of a video into the static scene and moving regions.

DEPTH ESTIMATION MOTION ESTIMATION MOTION SEGMENTATION OPTICAL FLOW ESTIMATION

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

CVPR 2018 yhjo09/VSR-DUF

We propose a novel end-to-end deep neural network that generates dynamic upsampling filters and a residual image, which are computed depending on the local spatio-temporal neighborhood of each pixel to avoid explicit motion compensation.

DATA AUGMENTATION MOTION COMPENSATION MOTION ESTIMATION VIDEO SUPER-RESOLUTION

CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction

1 Oct 2018yan99033/CNN-SVO

Reliable feature correspondence between frames is a critical step in visual odometry (VO) and visual simultaneous localization and mapping (V-SLAM) algorithms.

DEPTH ESTIMATION MOTION ESTIMATION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY

Video Enhancement with Task-Oriented Flow

24 Nov 2017baowenbo/DAIN

Many video enhancement algorithms rely on optical flow to register frames in a video sequence.

DENOISING MOTION ESTIMATION OPTICAL FLOW ESTIMATION VIDEO DENOISING VIDEO SUPER-RESOLUTION

Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

25 Feb 2019hlzz/DeepMatchVO

Accurate relative pose is one of the key components in visual odometry (VO) and simultaneous localization and mapping (SLAM).

MOTION ESTIMATION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL ODOMETRY