https://github.com/AlanZhang1995/TwoStreamSR
공식 코드Two-Stream Action Recognition-Oriented Video Super-Resolution
Papers with Code 아카이브
Video Super-Resolution
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Video Super-Resolution is a computer vision task that aims to increase the resolution of a video sequence, typically from lower to higher resolutions. The goal is to generate high-resolution video frames from low-resolution input, improving the overall quality of the video.
<span style="color:grey; opacity: 0.6">( Image credit: Detail-revealing Deep Video Super-Resolution )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Ascend-Research/Turtle
공식 코드Learning Truncated Causal History Model for Video Restoration
https://github.com/CS-GangXu/TMNet
공식 코드Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
https://github.com/EscVM/RAMS
공식 코드https://github.com/HendrikMuenster/superResolution
공식 코드https://github.com/JaeYeonKang/STVUN-Pytorch
공식 코드https://github.com/JihyongOh/FISR
공식 코드FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-scale Temporal Loss
https://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/Mukosame/Zooming-Slow-Mo-CVPR-2020
공식 코드Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
https://github.com/PaddlePaddle/PaddleGAN
공식 코드https://github.com/Tang1705/Semantic-Lens-AAAI24
공식 코드Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
https://github.com/TencentARC/GFPGAN
공식 코드Towards Real-World Blind Face Restoration with Generative Facial Prior
https://github.com/Thmen/EGVSR
공식 코드Real-Time Super-Resolution System of 4K-Video Based on Deep Learning
https://github.com/Vchitect/LaVie
공식 코드LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models
https://github.com/XinyiYing/D3Dnet
공식 코드https://github.com/alexandrosstergiou/adaPool
공식 코드AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
https://github.com/alimd94/fedvsr
공식 코드FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
https://github.com/amanchadha/iSeeBetter
공식 코드https://github.com/avinashpaliwal/Deep-SloMo
공식 코드Deep Slow Motion Video Reconstruction with Hybrid Imaging System
https://github.com/bjmch/MRVSR
공식 코드https://github.com/caojiezhang/VSR-Transformer
공식 코드https://github.com/caojiezhang/davsr
공식 코드Towards Interpretable Video Super-Resolution via Alternating Optimization
https://github.com/charlesnchr/vsr-sim
공식 코드Spatio-temporal Vision Transformer for Super-resolution Microscopy
https://github.com/chensong1995/deblursr
공식 코드DeblurSR: Event-Based Motion Deblurring Under the Spiking Representation
https://github.com/chiyich/egovsr
공식 코드EgoVSR: Towards High-Quality Egocentric Video Super-Resolution
https://github.com/ckkelvinchan/basicvsr_plusplus
공식 코드On the Generalization of BasicVSR++ to Video Deblurring and Denoising
https://github.com/ckkelvinchan/realbasicvsr
공식 코드Investigating Tradeoffs in Real-World Video Super-Resolution
https://github.com/claudiom4sir/stablevsr
공식 코드https://github.com/codeslake/RefVSR
공식 코드Reference-based Video Super-Resolution Using Multi-Camera Video Triplets
https://github.com/coulsonlee/stdo-cvpr2023
공식 코드Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
https://github.com/csbhr/Deep-Blind-VSR
공식 코드https://github.com/csbhr/self-blind-vsr
공식 코드https://github.com/csxmli2016/DFDNet
공식 코드Blind Face Restoration via Deep Multi-scale Component Dictionaries
https://github.com/cszn/BSRGAN
공식 코드Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
https://github.com/cszn/SRMD
공식 코드Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.