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Optical Flow Estimation is the problem of finding pixel-wise motions between consecutive images.

Source: Devon: Deformable Volume Network for Learning Optical Flow

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Datasets

Latest papers without code

Learning for Unconstrained Space-Time Video Super-Resolution

25 Feb 2021

Recent years have seen considerable research activities devoted to video enhancement that simultaneously increases temporal frame rate and spatial resolution.

OPTICAL FLOW ESTIMATION VIDEO ENHANCEMENT VIDEO SUPER-RESOLUTION

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

14 Feb 2021

We estimated the velocity vector field from the local estimation of the blur model parameters using an deep neural network and achieved a prediction with a regression coefficient of 0. 92 between the ground truth simulated vector field and the output of the network.

OPTICAL FLOW ESTIMATION

Analysis of Latent-Space Motion for Collaborative Intelligence

8 Feb 2021

When the input to a deep neural network (DNN) is a video signal, a sequence of feature tensors is produced at the intermediate layers of the model.

OPTICAL FLOW ESTIMATION

Deep Online Fused Video Stabilization

2 Feb 2021

The network fuses optical flow with real/virtual camera pose histories into a joint motion representation.

OPTICAL FLOW ESTIMATION

OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow

31 Jan 2021

Optical flow estimation is an essential step for many real-world computer vision tasks.

OPTICAL FLOW ESTIMATION

Nonlinear Evolutionary PDE-Based Refinement of Optical Flow

31 Jan 2021

The goal of this paper is propose a mathematical framework for optical flow refinement with non-quadratic regularization using variational techniques.

MOTION ESTIMATION OPTICAL FLOW ESTIMATION

On the Space-Time Statistics of Motion Pictures

29 Jan 2021

It is well-known that natural images possess statistical regularities that can be captured by bandpass decomposition and divisive normalization processes that approximate early neural processing in the human visual system.

OPTICAL FLOW ESTIMATION

Neural Particle Image Velocimetry

28 Jan 2021

In this work, we introduce a convolutional neural network adapted to the problem, namely Volumetric Correspondence Network (VCN) which was recently proposed for the end-to-end optical flow estimation in computer vision.

OPTICAL FLOW ESTIMATION

FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical Flow

24 Jan 2021

The photometric loss minimizes pixel intensity differences differences, the smoothness loss encourages similar magnitudes between neighbouring vectors, and a correlation loss that is used to maintain the intensity similarity between fixed and moving image slices.

IMAGE REGISTRATION MEDICAL IMAGE REGISTRATION OPTICAL FLOW ESTIMATION