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/openimaginglab/egvd
공식 코드EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
https://github.com/pandatimo/Exploring-Discontinuity-for-VFI
공식 코드https://github.com/pedrovfigueiredo/frameintIFE
공식 코드Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding
https://github.com/picsart-ai-research/videoinr-continuous-space-time-super-resolution
공식 코드VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
https://github.com/ruhig6/ibvc
공식 코드https://github.com/ruhig6/jnmr
공식 코드JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
https://github.com/saikatdutta/NME-VFI
공식 코드Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions
https://github.com/sanghunpark/neural_crossbreed
공식 코드https://github.com/shangwei5/selfdrsc_plusplus
공식 코드SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction
https://github.com/shangwei5/vidue
공식 코드Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
https://github.com/shicy17/ido-vfi
공식 코드IDO-VFI: Identifying Dynamics via Optical Flow Guidance for Video Frame Interpolation with Events
https://github.com/sniklaus/sepconv-slomo
공식 코드Video Frame Interpolation via Adaptive Separable Convolution
https://github.com/sniklaus/softmax-splatting
공식 코드https://github.com/srcn-ivl/ebme
공식 코드Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
https://github.com/srcn-ivl/upr-net
공식 코드A Unified Pyramid Recurrent Network for Video Frame Interpolation
https://github.com/subin-kim-cv/NVP
공식 코드Scalable Neural Video Representations with Learnable Positional Features
https://github.com/tarun005/FLAVR
공식 코드FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
https://github.com/tding1/CDFI
공식 코드CDFI: Compression-Driven Network Design for Frame Interpolation
https://github.com/uzh-rpg/rpg_timelens
공식 코드https://github.com/visinf/fldr-vfi
공식 코드Efficient Feature Extraction for High-resolution Video Frame Interpolation
https://github.com/weifeng-chen/control-a-video
공식 코드https://github.com/williamyang1991/vtoonify
공식 코드VToonify: Controllable High-Resolution Portrait Video Style Transfer
https://github.com/wustl-cig/CURE
공식 코드Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
https://github.com/wzmsltw/adaattn
공식 코드AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer
https://github.com/yangxy/sdl
공식 코드https://github.com/yjzhang96/UTI-VFI
공식 코드https://github.com/zhangxydlut/Neural-Image-Re-Exposure
공식 코드https://github.com/zhijie-group/lovecon
공식 코드LOVECon: Text-driven Training-Free Long Video Editing with ControlNet
https://github.com/zhshi0816/GDConvNet
공식 코드Video Frame Interpolation via Generalized Deformable Convolution
https://github.com/zhshi0816/video-frame-interpolation-transformer
공식 코드https://github.com/zonglinl/consecutivebrownianbridge
공식 코드Frame Interpolation with Consecutive Brownian Bridge Diffusion
https://github.com/zyoungxu/garamost
공식 코드https://github.com/zzh-tech/interpany-clearer
공식 코드Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation
https://gitlab.com/malwinq/interpolation-of-images-for-slow-motion-videos
공식 코드FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation
https://github.com/ArchieMeng/rife-ncnn-vulkan-python
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.