Papers Local Distortion
“Local Distortion” 태그가 달린 논문 26편 · 필터 해제
Hierarchical Graph Attention Network for No-Reference Omnidirectional Image Quality Assessment
Current Omnidirectional Image Quality Assessment (OIQA) methods struggle to evaluate locally non-uniform distortions due to inadequate modeling of spatial variations in quality and ineffective feature representation capt…
Image Quality AssessmentGraph Neural NetworkLocal DistortionMultitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Omnidirectional image quality assessment (OIQA) has been widely investigated in the past few years and achieved much success. However, most of existing studies are dedicated to solve the uniform distortion problem in OIQ…
feature selectionImage Quality AssessmentLocal DistortionDecouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
Leveraging the generative power of diffusion models, generative image compression has achieved impressive perceptual fidelity even at extremely low bitrates. However, current methods often neglect the non-uniform com…
DecoderImage CompressionLocal DistortionDistilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
In the Blind Image Quality Assessment (BIQA) field, accurately assessing the quality of authentically distorted images presents a substantial challenge due to the diverse distortion types in natural settings. Existin…
Blind Image Quality AssessmentImage Quality AssessmentKnowledge DistillationLocal DistortionAccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation
Diffusion models suffer severe object repetition and local distortion when the inference resolution differs from its pre-trained resolution. We propose AccDiffusion v2, an accurate method for patch-wise higher-resolution…
Image GenerationLocal DistortionGenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction
Online High-Definition (HD) maps have emerged as the preferred option for autonomous driving, overshadowing the counterpart offline HD maps due to flexible update capability and lower maintenance costs. However, contempo…
Autonomous DrivingData AugmentationLocal DistortionState Space ModelsRoFIR: Robust Fisheye Image Rectification Framework Impervious to Optical Center Deviation
Fisheye images are categorized fisheye into central and deviated based on the optical center position. Existing rectification methods are limited to central fisheye images, while this paper proposes a novel method that e…
Data AugmentationLocal DistortionPositionBoosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
Image Quality Assessment (IQA) constitutes a fundamental task within the field of computer vision yet it remains an unresolved challenge owing to the intricate distortion conditions diverse image contents and limited…
Image Quality AssessmentInductive BiasLocal DistortionGappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity
Fusing measurements from multiple, heterogeneous, partial sources, observing a common object or process, poses challenges due to the increasing availability of numbers and types of sensors. In this work we propose, imple…
Local DistortionLocal Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment
Image Quality Assessment (IQA) constitutes a fundamental task within the field of computer vision, yet it remains an unresolved challenge, owing to the intricate distortion conditions, diverse image contents, and limited…
Image Quality AssessmentInductive BiasLocal DistortionTOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment
Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed remarkable progress with deep neural networks. Inspired by the characteristics of the human visual system, existing methods typic…
Image Quality AssessmentLocal DistortionNo-Reference Image Quality AssessmentVideo Quality AssessmentDeep Unrestricted Document Image Rectification
In recent years, tremendous efforts have been made on document image rectification, but existing advanced algorithms are limited to processing restricted document images, i.e., the input images must incorporate a complet…
Local DistortionRevisiting Document Image Dewarping by Grid Regularization
This paper addresses the problem of document image dewarping, which aims at eliminating the geometric distortion in document images for document digitization. Instead of designing a better neural network to approximate t…
Local DistortionOptical Flow EstimationVolumetric Parameterization of the Placenta to a Flattened Template
We present a volumetric mesh-based algorithm for parameterizing the placenta to a flattened template to enable effective visualization of local anatomy and function. MRI shows potential as a research tool as it provides …
AnatomyLocal DistortionA Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
Capturing images of documents is one of the easiest and most used methods of recording them. These images however, being captured with the help of handheld devices, often lead to undesirable distortions that are hard to …
Local DistortionMS-SSIMSSIMHamiltonian Dynamics for Real-World Shape Interpolation
We revisit the classical problem of 3D shape interpolation and propose a novel, physically plausible approach based on Hamiltonian dynamics. While most prior work focuses on synthetic input shapes, our formulation is des…
Local DistortionDewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
Capturing document images with hand-held devices in unstructured environments is a common practice nowadays. However, "casual" photos of documents are usually unsuitable for automatic information extraction, mainly due t…
3D geometryLocal DistortionMS-SSIMOptical Character Recognition (OCR)+2Intrinsic Calibration of Depth Cameras for Mobile Robots using a Radial Laser Scanner
Depth cameras, typically in RGB-D configurations, are common devices in mobile robotic platforms given their appealing features: high frequency and resolution, low price and power requirements, among others. These sensor…
Local DistortionGANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views
In this paper, we proposed a no-reference (NR) quality metric for RGB plus image-depth (RGB-D) synthesis images based on Generative Adversarial Networks (GANs), namely GANs-NQM. Due to the failure of the inpainting on di…
Local DistortionDocUNet: Document Image Unwarping via a Stacked U-Net
Capturing document images is a common way for digitizing and recording physical documents due to the ubiquitousness of mobile cameras. To make text recognition easier, it is often desirable to digitally flatten a documen…
Local DistortionMS-SSIMSSIM