Papers with Code 아카이브
Motion Compensation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JaeYeonKang/STVUN-Pytorch
공식 코드https://github.com/KUIS-AI-Tekalp-Research-Group/video-compression
공식 코드https://github.com/LongguangWang/SOF-VSR
공식 코드Deep Video Super-Resolution using HR Optical Flow Estimation
https://github.com/LongguangWang/SOF-VSR-Super-Resolving-Optical-Flow-for-Video-Super-Resolution-
공식 코드Learning for Video Super-Resolution through HR Optical Flow Estimation
https://github.com/Orange-OpenSource/AIVC
공식 코드https://github.com/Paulkie99/imm-jhse
공식 코드One Homography is All You Need: IMM-based Joint Homography and Multiple Object State Estimation
https://github.com/XiaoxG/waveMotion-lightning
공식 코드Probabilistic prediction of the heave motions of a semi-submersible by a deep learning problem model
https://github.com/XinyiYing/D3Dnet
공식 코드https://github.com/bbc/cnn-fractional-motion-compensation
공식 코드Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video Coding
https://github.com/bchimagine/DeepPredictiveMotionTracking
공식 코드Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
https://github.com/bkainz/fetalReconstruction
공식 코드PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
https://github.com/chaoliu18/rplvc
공식 코드Learned Video Compression with Residual Prediction and Loop Filter
https://github.com/cmlab-korea/awesome-video-frame-interpolation
공식 코드AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation
https://github.com/codeslake/PVDNet
공식 코드Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes
https://github.com/codeslake/RealTime_VDBLR
공식 코드Real-Time Video Deblurring via Lightweight Motion Compensation
https://github.com/corfyi/ucmctrack
공식 코드UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation
https://github.com/fast-vid2vid/fast-vid2vid
공식 코드Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
https://github.com/fau-lms/vvc-extension-ged
공식 코드https://github.com/gitcvfb/cvr
공식 코드Context-Aware Video Reconstruction for Rolling Shutter Cameras
https://github.com/gyukai/i2vc
공식 코드I$^2$VC: A Unified Framework for Intra- & Inter-frame Video Compression
https://github.com/haesoochung/hdri-saturation-compensation
공식 코드https://github.com/haesoochung/lan-hdr
공식 코드LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
https://github.com/holzbock/ped_env
공식 코드https://github.com/huairui/lstvc
공식 코드Exploring Long- and Short-Range Temporal Information for Learned Video Compression
https://github.com/jiangsutx/SPMC_VideoSR
공식 코드https://github.com/jiayouqin/h-splitter
공식 코드Motor Focus: Fast Ego-Motion Prediction for Assistive Visual Navigation
https://github.com/jingfeng-lu/deep-ultrafast-echocardiography
공식 코드Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography
https://github.com/junpan19/ETDM
공식 코드Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling
https://github.com/kun150kun/eslam-survey
공식 코드Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
https://github.com/luka0714/OurProject
공식 코드Dilated convolutional neural network-based deep reference picture generation for video compression
https://github.com/m-tassano/fastdvdnet
공식 코드FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
https://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/multimodallearning/miccai24_immoco
공식 코드IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
https://github.com/neuromorphicsystems/event_warping
공식 코드Density Invariant Contrast Maximization for Neuromorphic Earth Observations
https://github.com/phil-bergmann/tracking_wo_bnw
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.