Papers with Code 아카이브
Video Frame Interpolation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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The goal of Video Frame Interpolation is to synthesize several frames in the middle of two adjacent frames of the original video. Video Frame Interpolation can be applied to generate slow motion video, increase video frame rate, and frame recovery in video streaming.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ErezYosef/Video-Reconstruction
공식 코드Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
https://github.com/HrishikeshVish/AdaFNIO
공식 코드AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation
https://github.com/HyeongminLEE/AdaCoF-pytorch
공식 코드AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
https://github.com/J911/MISO-VFI
공식 코드A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow
https://github.com/JarrentWu1031/CCPL
공식 코드CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
https://github.com/JihyongOh/DeMFI
공식 코드https://github.com/JihyongOh/FISR
공식 코드FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss
https://github.com/JihyongOh/XVFI
공식 코드https://github.com/JunHeum/BMBC
공식 코드BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation
https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
공식 코드Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
https://github.com/NevSNev/UniST
공식 코드Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
https://github.com/QuanjianSong/UniVST
공식 코드UniVST: A Unified Framework for Training-free Localized Video Style Transfer
https://github.com/RohitSaha/W-Cell-Net_cellular_video_interpolation
공식 코드W-Cell-Net: Multi-frame Interpolation of Cellular Microscopy Videos
https://github.com/VicFonch/Multi-Input-Resshift-Diffusion-VFI
공식 코드Time-adaptive Video Frame Interpolation based on Residual Diffusion
https://github.com/XiYe20/NPVP
공식 코드https://github.com/Xianhang/EDSC-pytorch
공식 코드Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
https://github.com/YueWuHKUST/CVPR2022-Optimizing-Video-Prediction-via-Video-Frame-Interpolation
공식 코드https://github.com/ZyoungXu/MoSt-DSA
공식 코드https://github.com/ahmetakman/e-vfia
공식 코드E-VFIA : Event-Based Video Frame Interpolation with Attention
https://github.com/ahmetakman/maevi
공식 코드https://github.com/ahupujr/refid
공식 코드A Unified Framework for Event-based Frame Interpolation with Ad-hoc Deblurring in the Wild
https://github.com/alexandrosstergiou/lavib
공식 코드https://github.com/anonymous202203/moso
공식 코드MOSO: Decomposing MOtion, Scene and Object for Video Prediction
https://github.com/avinashpaliwal/Deep-SloMo
공식 코드Deep Slow Motion Video Reconstruction with Hybrid Imaging System
https://github.com/avinashpaliwal/StereoMPD
공식 코드https://github.com/baowenbo/DAIN
공식 코드https://github.com/chenyangqiqi/fatezero
공식 코드FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
https://github.com/cmlab-korea/awesome-video-frame-interpolation
공식 코드AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation
https://github.com/crispianm/st-mfnet-mini
공식 코드ST-MFNet Mini: Knowledge Distillation-Driven Frame Interpolation
https://github.com/danielism97/bvi-vfi-database
공식 코드BVI-VFI: A Video Quality Database for Video Frame Interpolation
https://github.com/danielism97/ldmvfi
공식 코드LDMVFI: Video Frame Interpolation with Latent Diffusion Models
https://github.com/danielism97/st-mfnet
공식 코드ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
https://github.com/danier97/bvi-vfi-database
공식 코드BVI-VFI: A Video Quality Database for Video Frame Interpolation
https://github.com/danier97/ldmvfi
공식 코드LDMVFI: Video Frame Interpolation with Latent Diffusion Models
https://github.com/dvlab-research/vfiformer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.