https://github.com/leggedrobotics/holistic_fusion
공식 코드Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lias-cuhksz/epipolar_eval
공식 코드Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation
https://github.com/lightchaserx/neural-global-shutter
공식 코드https://github.com/liudaqikk/RobotEvt
공식 코드https://github.com/liudaqikk/STR-event
공식 코드https://github.com/liuzhen03/nndvs
공식 코드https://github.com/ljacksonpan/ratrack
공식 코드RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud
https://github.com/lorenzovaquero/siammotion
공식 코드Real-Time Siamese Multiple Object Tracker with Enhanced Proposals
https://github.com/louisfinner/him2sam
공식 코드https://github.com/luka0714/OurProject
공식 코드Dilated convolutional neural network-based deep reference picture generation for video compression
https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm
공식 코드https://github.com/m-tassano/fastdvdnet
공식 코드FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
https://github.com/maftej/iisnerf
공식 코드https://github.com/marciska/vpc-switched-motion
공식 코드Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
https://github.com/marcusvaltonen/minimal_indoor_uav
공식 코드https://github.com/mareikethies/geometry_gradients_ct
공식 코드A gradient-based approach to fast and accurate head motion compensation in cone-beam CT
https://github.com/mchancan/citylearn
공식 코드MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
https://github.com/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/mikirui/ADSPM
공식 코드Attribute-Driven Spontaneous Motion in Unpaired Image Translation
https://github.com/mrkoujan/DeepFaceFlow
공식 코드https://github.com/neurai-lab/mimdepth
공식 코드Image Masking for Robust Self-Supervised Monocular Depth Estimation
https://github.com/neuromorphicsystems/event_warping
공식 코드Density Invariant Contrast Maximization for Neuromorphic Earth Observations
https://github.com/nianticlabs/monodepth2
공식 코드https://github.com/opennlplab/avs-bidirectional
공식 코드Improving Audio-Visual Segmentation with Bidirectional Generation
https://github.com/ostadabbas/tepose
공식 코드Live Stream Temporally Embedded 3D Human Body Pose and Shape Estimation
https://github.com/plan-lab/chexrelnet
공식 코드CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays
https://github.com/prgumd/EVDodgeNet
공식 코드EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
https://github.com/princeton-vl/DeepV2D
공식 코드DeepV2D: Video to Depth with Differentiable Structure from Motion
https://github.com/prs-eth/DeFlow
공식 코드https://github.com/qcraftai/pillar-motion
공식 코드Self-Supervised Pillar Motion Learning for Autonomous Driving
https://github.com/qcraftai/simtrack
공식 코드Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
https://github.com/qianduoduolr/decomotion
공식 코드https://github.com/qianqianwang68/omnimotion
공식 코드https://github.com/qmeng99/deepmesh
공식 코드DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning
https://github.com/rabbityl/DeformingThings4D
공식 코드4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface
https://github.com/rascalgdd/vpseg
공식 코드Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.