Burst Image Super-Resolution
8 papers with code • 2 benchmarks • 2 datasets
Reconstruct a high-resolution image from a set of low-quality images, very like the multi-frame super-resolution task.
Benchmarks
These leaderboards are used to track progress in Burst Image Super-Resolution
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
BurstSR
Most implemented papers
Deep Burst Super-Resolution
goutamgmb/deep-burst-sr
•
•
CVPR 2021
We propose a novel architecture for the burst super-resolution task.
EBSR: Feature Enhanced Burst Super-Resolution With Deformable Alignment
Algolzw/EBSR
•
•
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021
We propose a novel architecture to handle the problem of multi-frame super-resolution (MFSR).
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
goutamgmb/deep-burst-sr
•
•
ICCV 2021
The deep reparametrization allows us to directly model the image formation process in the latent space, and to integrate learned image priors into the prediction.
Unfolding the Alternating Optimization for Blind Super Resolution
More importantly, \textit{Restorer} is trained with the kernel estimated by \textit{Estimator}, instead of ground-truth kernel, thus \textit{Restorer} could be more tolerant to the estimation error of \textit{Estimator}.
Burst Image Restoration and Enhancement
akshaydudhane16/bipnet
•
•
CVPR 2022
Our central idea is to create a set of pseudo-burst features that combine complementary information from all the input burst frames to seamlessly exchange information.
Kernel-aware Burst Blind Super-Resolution
In this paper, we address the problem of reconstructing HR images from raw burst sequences acquired from a modern handheld device.
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable Alignment
algolzw/bsrt
•
•
To overcome the challenges in BurstSR, we propose a Burst Super-Resolution Transformer (BSRT), which can significantly improve the capability of extracting inter-frame information and reconstruction.
Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especially in realistic scenarios.
