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SOTA
Video Super Resolution
Video Super Resolution On Vid4 4X Upscaling
Video Super Resolution On Vid4 4X Upscaling
評価指標
PSNR
SSIM
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
PSNR
SSIM
Paper Title
Repository
MIA-VSR
28.20
0.8507
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
VideoGigaGAN
27.04
-
VideoGigaGAN: Towards Detail-rich Video Super-Resolution
-
IconVSR
27.39
0.8279
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
EvTexture+
29.78
0.8983
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
BasicVSR
27.24
0.8251
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
BRCN
24.43
0.662
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
-
RVRT
27.99
0.8462
Recurrent Video Restoration Transformer with Guided Deformable Attention
SATeCo
27.44
0.8420
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
-
ESPCN
25.06
0.7394
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
DBPN
25.37
0.737
Deep Back-Projection Networks For Super-Resolution
DRDVSR
25.88
0.774
Detail-revealing Deep Video Super-resolution
RBPN/6-PF
27.12
0.8180
Recurrent Back-Projection Network for Video Super-Resolution
CFD-PSRT
28.18
0.8503
Collaborative Feedback Discriminative Propagation for Video Super-Resolution
IART
28.26
0.8517
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
VESPCN
25.35
0.7557
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
-
BasicVSR++
27.79
0.8400
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
PSRT-recurrent
28.07
0.8485
Rethinking Alignment in Video Super-Resolution Transformers
VRT
27.93
0.8425
VRT: A Video Restoration Transformer
TecoGAN⊖
25.89
-
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
SOF-VSR
26.01
0.771
Learning for Video Super-Resolution through HR Optical Flow Estimation
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