Papers with Code 아카이브

Motion Estimation

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Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Guepardow/TWiX

Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching Space

https://github.com/HrishavBakulBarua/3D-Human

Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular Videos

https://github.com/IcarusWizard/monodepth2-paddle

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/KAIST-VICLab/BiM-VFI

BiM-VFI: directional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions

https://github.com/LONG-9621/Derivative_Efficient

The Double Sphere Camera Model

https://github.com/Mind23-2/MindCode-4/tree/main/densenet

DenseNet for Dense Flow

https://github.com/NiallEHunt/MonocularDepth-Using-LightFields

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/Robotmurlock/TNT-VectorNet-and-HOME-Trajectory-Forecasting

HOME: Heatmap Output for future Motion Estimation

https://github.com/ShuaiBai623/MFT

Multi-hierarchical Independent Correlation Filters for Visual Tracking

https://github.com/TWJianNuo/panoptic-scene-understanding

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/TanyaChutani/Monodepth-Tf2.x

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/ThomasDupiereux/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/UkcheolShin/TsfmLearner

Self-Supervised Depth and Ego-Motion Estimation for Monocular Thermal Video Using Multi-Spectral Consistency Loss

https://github.com/VladyslavUsenko/basalt-headers-mirror

The Double Sphere Camera Model

https://github.com/XXXVincent/MonoDepth2

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/YQRickWang/Motion_Prediction

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

https://github.com/YingfuXu/PoseNet_Planar

CNN-based Ego-Motion Estimation for Fast MAV Maneuvers

https://github.com/achalddave/segment-any-moving

Towards Segmenting Anything That Moves

https://github.com/aibluefisher/graphoptim

A Pose-only Solution to Visual Reconstruction and Navigation

https://github.com/aipex-lab/rppg_biases

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

https://github.com/alexandervakhitov/ORB_SLAM2_SEGO

Stereo relative pose from line and point feature triplets

https://github.com/alexandervakhitov/sego

Stereo relative pose from line and point feature triplets

https://github.com/anchen1011/toflow

Video Enhancement with Task-Oriented Flow

https://github.com/audiofhrozen/dance-engine

Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation

https://github.com/audiofhrozen/motion_dance

Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation

https://github.com/baowenbo/MEMC-Net

MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

https://github.com/berndpfrommer/basalt-headers

The Double Sphere Camera Model

https://github.com/bpagare6/Struct2Depth-ImageFiles

Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

https://github.com/bpagare6/Struct2Depth-Video

Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

https://github.com/chengguizi/basalt-headers

The Double Sphere Camera Model

https://github.com/cq615/Joint-Motion-Estimation-and-Segmentation

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

https://github.com/crazyCoderLi/PVDNet_copy_for_test

Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes

https://github.com/cscss/DBVSR

Deep Blind Video Super-resolution

https://github.com/ebarsoum/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/enriccorona/human-motion-prediction-pytorch

On human motion prediction using recurrent neural networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.