Papers Reference-based Super-Resolution
“Reference-based Super-Resolution” 태그가 달린 논문 31편 · 필터 해제
GarmentZoom: Generating Zoomable Images from Garment Listings
Online product listings for garments often include an overview photo and a close-up to show garment details. However, each photo focuses on either field of view or garment detail, forcing users to alternate between views…
Reference-based Super-ResolutionLearning to Balance: Decoupled Siamese Diffusion Transformer for Reference-Based Remote Sensing Image Super-Resolution
Diffusion-based methods demonstrate significant potential for remote sensing image super-resolution at large scaling factors, particularly in reference-based super-resolution (RefSR), where high-resolution reference imag…
Reference-based Super-ResolutionImage Super-ResolutionTrust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
Recent works have explored reference-based super-resolution (RefSR) to mitigate hallucinations in diffusion-based image restoration. A key challenge is that real-world degradations make correspondences between low-qualit…
Reference-based Super-ResolutionImage RestorationRefSR-Adv: Adversarial Attack on Reference-based Image Super-Resolution Models
Single Image Super-Resolution (SISR) aims to recover high-resolution images from low-resolution inputs. Unlike SISR, Reference-based Super-Resolution (RefSR) leverages an additional high-resolution reference image to fac…
Reference-based Super-ResolutionImage Super-ResolutionAdversarial AttackSegmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation
Delineating farm boundaries through segmentation of satellite images is a fundamental step in many agricultural applications. The task is particularly challenging for smallholder farms, where accurate delineation require…
Reference-based Super-ResolutionImage Super-ResolutionSemantic SegmentationHiTSR: A Hierarchical Transformer for Reference-based Super-Resolution
In this paper, we propose HiTSR, a hierarchical transformer model for reference-based image super-resolution, which enhances low-resolution input images by learning matching correspondences from high-resolution reference…
Image Super-ResolutionKnowledge DistillationReference-based Super-ResolutionSSIM+1Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network
The Quick-view (QV) technique serves as a primary method for detecting defects within sewerage systems. However, the effectiveness of QV is impeded by the limited visual range of its hardware, resulting in suboptimal ima…
Computational EfficiencyImage Super-ResolutionKnowledge Distillationobject-detection+5MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
Rendering realistic images from 3D reconstruction is an essential task of many Computer Vision and Robotics pipelines, notably for mixed-reality applications as well as training autonomous agents in simulated environment…
3D ReconstructionMixed RealityReference-based Super-ResolutionSuper-ResolutionSelf-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
In this paper, we consider two challenging issues in reference-based super-resolution (RefSR) for smartphone, (i) how to choose a proper reference image, and (ii) how to learn RefSR in a self-supervised manner. Particula…
Optical Flow EstimationReference-based Super-ResolutionSelf-Supervised LearningSuper-ResolutionDetail-Enhancing Framework for Reference-Based Image Super-Resolution
Recent years have witnessed the prosperity of reference-based image super-resolution (Ref-SR). By importing the high-resolution (HR) reference images into the single image super-resolution (SISR) approach, the ill-posed …
Image Super-ResolutionReference-based Super-ResolutionSuper-ResolutionBuilding Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
Reference-based super-resolution (RefSR) has the potential to build bridges across spatial and temporal resolutions of remote sensing images. However, existing RefSR methods are limited by the faithfulness of content rec…
DenoisingReference-based Super-ResolutionSuper-ResolutionHSTR-Net: Reference Based Video Super-resolution with Dual Cameras
High-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information. State-of-the-art cameras provide this required high frame-rate and hi…
Optical Flow EstimationReference-based Super-ResolutionReference-based Video Super-ResolutionSSIM+2A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution
Reference-based super-resolution (RefSR) has gained considerable success in the field of super-resolution with the addition of high-resolution reference images to reconstruct low-resolution (LR) inputs with more high-fre…
Image Super-ResolutionReference-based Super-ResolutionSuper-ResolutionReference-based OCT Angiogram Super-resolution with Learnable Texture Generation
Optical coherence tomography angiography (OCTA) is a new imaging modality to visualize retinal microvasculature and has been readily adopted in clinics. High-resolution OCT angiograms are important to qualitatively and q…
Reference-based Super-ResolutionSuper-ResolutionTexture SynthesisLMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
It is widely agreed that reference-based super-resolution (RefSR) achieves superior results by referring to similar high quality images, compared to single image super-resolution (SISR). Intuitively, the more references,…
feature selectionImage Super-ResolutionReference-based Super-ResolutionSuper-ResolutionMulti-Reference Image Super-Resolution: A Posterior Fusion Approach
Reference-based Super-resolution (RefSR) approaches have recently been proposed to overcome the ill-posed problem of image super-resolution by providing additional information from a high-resolution image. Multi-referenc…
Image Super-ResolutionReference-based Super-ResolutionSuper-ResolutionReference-based Image and Video Super-Resolution via C2-Matching
Reference-based Super-Resolution (Ref-SR) has recently emerged as a promising paradigm to enhance a low-resolution (LR) input image or video by introducing an additional high-resolution (HR) reference image. Existing Ref…
Image Super-ResolutionReference-based Super-ResolutionReference-based Video Super-ResolutionSuper-Resolution+1Reference-based Image Super-Resolution with Deformable Attention Transformer
Reference-based image super-resolution (RefSR) aims to exploit auxiliary reference (Ref) images to super-resolve low-resolution (LR) images. Recently, RefSR has been attracting great attention as it provides an alternati…
Image Super-ResolutionReference-based Super-ResolutionSuper-ResolutionHSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area Surveillance
Wide area surveillance has many applications and tracking of objects under observation is an important task, which often needs high spatio-temporal resolution (HSTR) video for better precision. This paper presents the us…
Optical Flow EstimationReference-based Super-ResolutionSSIMSuper-Resolution+2Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
In this paper, we consider two challenging issues in reference-based super-resolution (RefSR), (i) how to choose a proper reference image, and (ii) how to learn real-world RefSR in a self-supervised manner. Particularly,…
Reference-based Super-ResolutionSelf-Supervised LearningSuper-Resolution