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SOTA
Video Denoising
Video Denoising On Set8 Sigma10
Video Denoising On Set8 Sigma10
Metrics
PSNR
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
Paper Title
ReViD
38.07
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising
VRT
37.88
VRT: A Video Restoration Transformer
RVRT
37.53
Recurrent Video Restoration Transformer with Guided Deformable Attention
PaCNet
37.06
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
FastDVDnet
36.43
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
DVDnet
36.08
DVDnet: A Fast Network for Deep Video Denoising
0 of 6 row(s) selected.
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HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Video Denoising
Video Denoising On Set8 Sigma10
Video Denoising On Set8 Sigma10
Metrics
PSNR
Results
Performance results of various models on this benchmark
Columns
Model Name
PSNR
Paper Title
ReViD
38.07
Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoising
VRT
37.88
VRT: A Video Restoration Transformer
RVRT
37.53
Recurrent Video Restoration Transformer with Guided Deformable Attention
PaCNet
37.06
Patch Craft: Video Denoising by Deep Modeling and Patch Matching
FastDVDnet
36.43
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
DVDnet
36.08
DVDnet: A Fast Network for Deep Video Denoising
0 of 6 row(s) selected.
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Next
Video Denoising On Set8 Sigma10 | SOTA | HyperAI