About

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

Source: Devon: Deformable Volume Network for Learning Optical Flow

Benchmarks

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Datasets

Latest papers with code

Temporal Memory Attention for Video Semantic Segmentation

17 Feb 2021wanghao9610/TMANet

Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence.

OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION VIDEO SEMANTIC SEGMENTATION

4
17 Feb 2021

Normalized Convolution Upsampling for Refined Optical Flow Estimation

13 Feb 2021abdo-eldesokey/RAFT-NCUP

Our proposed approach formulates the upsampling task as a sparse problem and employs the normalized convolutional neural networks to solve it.

OPTICAL FLOW ESTIMATION

2
13 Feb 2021

Neural Re-rendering for Full-frame Video Stabilization

11 Feb 2021alex04072000/NeRViS

Existing video stabilization methods either require aggressive cropping of frame boundaries or generate distortion artifacts on the stabilized frames.

OPTICAL FLOW ESTIMATION

101
11 Feb 2021

Frame Difference-Based Temporal Loss for Video Stylization

11 Feb 2021AtlantixJJ/frame-difference-loss

To ensure temporal inconsistency between the frames of the stylized video, a common approach is to estimate the optic flow of the pixels in the original video and make the generated pixels match the estimated optical flow.

OPTICAL FLOW ESTIMATION STYLE TRANSFER

2
11 Feb 2021

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency

4 Feb 2021SeokjuLee/Insta-DM

We present an end-to-end joint training framework that explicitly models 6-DoF motion of multiple dynamic objects, ego-motion and depth in a monocular camera setup without supervision.

INSTANCE SEGMENTATION MONOCULAR DEPTH ESTIMATION MOTION ESTIMATION OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION VIDEO INSTANCE SEGMENTATION

56
04 Feb 2021

Deep Burst Super-Resolution

26 Jan 2021goutamgmb/NTIRE21_BURSTSR

We propose a novel architecture for the burst super-resolution task.

MULTI-FRAME SUPER-RESOLUTION OPTICAL FLOW ESTIMATION

19
26 Jan 2021

Supervision by Registration and Triangulation for Landmark Detection

25 Jan 2021D-X-Y/landmark-detection

End-to-end training is made possible by differentiable registration and 3D triangulation modules.

OPTICAL FLOW ESTIMATION

734
25 Jan 2021

Object Tracking by Detection with Visual and Motion Cues

19 Jan 2021fzi-forschungszentrum-informatik/NNAD

The assignment heuristic relies on four metrics: An embedding vector that describes the appearance of objects and can be used to re-identify them, a displacement vector that describes the object movement between two consecutive video frames, the Mahalanobis distance between the Kalman filter states and the new detections, and a class distance.

OBJECT TRACKING OPTICAL FLOW ESTIMATION SELF-DRIVING CARS

7
19 Jan 2021

Reinforcement Learning with Latent Flow

6 Jan 2021WendyShang/flare

Temporal information is essential to learning effective policies with Reinforcement Learning (RL).

CONTINUOUS CONTROL MONTEZUMA'S REVENGE OPTICAL FLOW ESTIMATION VIDEO CLASSIFICATION

15
06 Jan 2021

DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection

9 Dec 2020TJUMMG/DS-Net

In this paper, we investigate the complimentary roles of spatial and temporal information and propose a novel dynamic spatiotemporal network (DS-Net) for more effective fusion of spatiotemporal information.

OPTICAL FLOW ESTIMATION SALIENCY DETECTION SALIENT OBJECT DETECTION VIDEO SALIENT OBJECT DETECTION

6
09 Dec 2020