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/event-driven-robotics/bimvee

The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

https://github.com/ferdyandannes/Train-struct2depth

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

https://github.com/ferdyandannes/struct2depth_train

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

https://github.com/ferdyandannes/struct2depthv2

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

https://github.com/fshamshirdar/DeepVO

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

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

On human motion prediction using recurrent neural networks

https://github.com/gauraviiita/Visualization-of-Human3.6M-Dataset

On human motion prediction using recurrent neural networks

https://github.com/go125/TestCheckpointFromDFV

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

https://github.com/go125/depth_from_video_in_the_wild

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

https://github.com/google-research/google-research/tree/master/depth_from_video_in_the_wild

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

https://github.com/gorchard/Spiking_Motion

Bioinspired Visual Motion Estimation

https://github.com/grossjohannes/AlignNet-3D

AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects

https://github.com/gurpreet-singh135/Image-Interpolation-via-adaptive-separable-convolution

Video Frame Interpolation via Adaptive Convolution

https://github.com/halajun/vdo_slam

Robust Ego and Object 6-DoF Motion Estimation and Tracking

https://github.com/hyye/lio-mapping

Tightly Coupled 3D Lidar Inertial Odometry and Mapping

https://github.com/ibaiGorordo/Tapir-Pytorch-Inference

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement

https://github.com/iodncookie/my_loss_monodepth_master

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/isennkubilay/monodepth2_tf

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/jabb0/fastflow3d

Scalable Scene Flow from Point Clouds in the Real World

https://github.com/jcao216/DAIN_Modified

Video Enhancement with Task-Oriented Flow

https://github.com/jm12138/SkyAR_Paddle_GUI

Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos

https://github.com/jwolf02/rtdeepvo

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

https://github.com/jzwqaq/monodepth_jzw

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/kaist-vclab/sphere-stereo

The Double Sphere Camera Model

https://github.com/kth-rpl/deflow

Scalable Scene Flow from Point Clouds in the Real World

https://github.com/kylevedder/zeroflow

Scalable Scene Flow from Point Clouds in the Real World

https://github.com/laomao0/BIN

Video Enhancement with Task-Oriented Flow

https://github.com/leolyj/dca-srsfe

Scalable Scene Flow from Point Clouds in the Real World

https://github.com/lukaslang/ofcm

Decomposition of Optical Flow on the Sphere

https://github.com/lukaszhalbiniak95/Projekt_RA

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

https://github.com/madhubabuv/dtd

When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation

https://github.com/makinyilmaz/lhbdc

End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression

https://github.com/marciska/vpc-library

Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories

https://github.com/minghanz/DepthC3D

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/minxuanjun/basalt-mirror

The Double Sphere Camera Model

https://github.com/minxuanjun/basalt_class

The Double Sphere Camera Model

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