Video Super Resolution On Vid4 4X Upscaling

评估指标

PSNR

SSIM

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
EvTexture+	29.78	0.8983	EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
EvTexture	29.51	0.8909	EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
IART	28.26	0.8517	Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
MIA-VSR	28.20	0.8507	Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
CFD-PSRT	28.18	0.8503	Collaborative Feedback Discriminative Propagation for Video Super-Resolution
PSRT-recurrent	28.07	0.8485	Rethinking Alignment in Video Super-Resolution Transformers
RVRT	27.99	0.8462	Recurrent Video Restoration Transformer with Guided Deformable Attention
VRT	27.93	0.8425	VRT: A Video Restoration Transformer
BasicVSR++	27.79	0.8400	BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
SATeCo	27.44	0.8420	Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution	-
IconVSR	27.39	0.8279	BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
EDVR	27.35	0.8264	EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
VSR-DUF	27.33	0.8319	Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation	-
BasicVSR	27.24	0.8251	BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
RBPN/6-PF	27.12	0.8180	Recurrent Back-Projection Network for Video Super-Resolution
VideoGigaGAN	27.04	-	VideoGigaGAN: Towards Detail-rich Video Super-Resolution	-
SOF-VSR	26.01	0.771	Learning for Video Super-Resolution through HR Optical Flow Estimation
SOF-VSR	26	0.772	Deep Video Super-Resolution using HR Optical Flow Estimation
TecoGAN⊖	25.89	-	Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
DRDVSR	25.88	0.774	Detail-revealing Deep Video Super-resolution

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