Stereo Image Super-Resolution
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Benchmarks
Flickr1024 - 2x upscaling
KITTI2012 - 4x upscaling
KITTI2015 - 2x upscaling
KITTI2015 - 4x upscaling
Middlebury - 2x upscaling
Middlebury - 4x upscaling
Flickr1024 - 4x upscaling
KITTI2012 - 2x upscaling
KITTI2012 - 2x upscaling
KITTI2012 - 2x scaling
Most implemented
NAFSSR: Stereo Image Super-Resolution Using NAFNet
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Parallax Attention for Unsupervised Stereo Correspondence Learning
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution
Learning Accurate and Enriched Features for Stereo Image Super-Resolution
Papers
Multi-scale interaction network for stereo image super-resolution
Stereo image super-resolution aims to generate high-resolution images by leveraging complementary information from binocular systems. Although previous studies have achieved impressive results, the potential of intra-vie…
Stereo Image Super-ResolutionStereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
Stereo image super-resolution (SSR) aims to enhance high-resolution details by leveraging information from stereo image pairs. However, existing stereo super-resolution (SSR) upsampling methods (e.g., pixel shuffle) ofte…
Image Super-ResolutionStereo Image Super-ResolutionSuper-ResolutionLearning Optimal Combination Patterns for Lightweight Stereo Image Super-Resolution
Stereo image super-resolution (stereoSR) strives to improve the quality of super-resolution by leveraging the auxiliary information provided by another perspective. Most approaches concentrate on refining module design, …
Image Super-ResolutionStereo Image Super-ResolutionSuper-ResolutionNTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-r…
Image Super-ResolutionStereo Image Super-ResolutionSuper-ResolutionvalidDIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution
We introduce DiffSteISR, a pioneering framework for reconstructing real-world stereo images. DiffSteISR utilizes the powerful prior knowledge embedded in pre-trained text-to-image model to efficiently recover the lost te…
Image Super-ResolutionStereo Image Super-ResolutionSuper-ResolutionTAGASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution
Despite advances in the paradigm of pre-training then fine-tuning in low-level vision tasks, significant challenges persist particularly regarding the increased size of pre-trained models such as memory usage and trainin…
Image Super-Resolutionparameter-efficient fine-tuningStereo Image Super-ResolutionSuper-Resolution