HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
Video Frame Interpolation
Video Frame Interpolation On X4K1000Fps
Video Frame Interpolation On X4K1000Fps
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
Columns
模型名称
PSNR
SSIM
Paper Title
Repository
ABME
30.16
0.8793
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation
DBVI
32.89
0.939
Deep Bayesian Video Frame Interpolation
FeFlow
24.00
0.756
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
UPR-Net large
30.68
0.9086
A Unified Pyramid Recurrent Network for Video Frame Interpolation
DAIN_f
27.52
0.821
Depth-Aware Video Frame Interpolation
VFIMamba
32.15
0.9246
VFIMamba: Video Frame Interpolation with State Space Models
M2M-PWC
30.81
0.912
Many-to-many Splatting for Efficient Video Frame Interpolation
NCM-Base
31.63
0.9185
Neighbor Correspondence Matching for Flow-based Video Frame Synthesis
-
EBME-H*
29.46
0.902
Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
HiFI
32.92
0.931
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
-
EMA-VFI
31.46
-
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
AdaCoF
23.90
0.727
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
FeFlow_f
25.16
0.783
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation
XVFI-Net (S_{tst}=3)
28.86
0.858
XVFI: eXtreme Video Frame Interpolation
AdaCoF_f
25.81
0.772
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
BiFormer
31.32
0.9212
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation
fLDR-Net
30.45
-
Efficient Feature Extraction for High-resolution Video Frame Interpolation
XVFI-Net (S_{tst}=5)
30.12
0.870
XVFI: eXtreme Video Frame Interpolation
ECMNet
30.51
0.8719
Enhanced Correlation Matching based Video Frame Interpolation
-
DAIN
26.78
0.807
Depth-Aware Video Frame Interpolation
0 of 20 row(s) selected.
Previous
Next