Copertina

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Grabinski, Julia, Jung, Steffen, Keuper, Janis, Keuper, Margret
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition Image and Video Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
di: Agnihotri, Shashank, et al.
Pubblicazione: (2024)

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
di: Grabinski, Julia, et al.
Pubblicazione: (2023)

Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
di: Agnihotri, Shashank, et al.
Pubblicazione: (2023)

Deepfakes: we need to re-think the concept of "real" images
di: Keuper, Janis, et al.
Pubblicazione: (2025)

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
di: Liu, Yuqing, et al.
Pubblicazione: (2022)

Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning
di: Jung, Sunyoung, et al.
Pubblicazione: (2024)

Towards Class-wise Robustness Analysis
di: Medi, Tejaswini, et al.
Pubblicazione: (2024)

Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields
di: Park, Youngin, et al.
Pubblicazione: (2024)

Gene-Level Representation Learning via Interventional Style Transfer in Optical Pooled Screening
di: Bigverdi, Mahtab, et al.
Pubblicazione: (2024)

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
di: Xu, Jiahua, et al.
Pubblicazione: (2024)

Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning
di: Chen, Sheng, et al.
Pubblicazione: (2024)

Anisotropic Pooling for LUT-realizable CNN Image Restoration
di: Zhang, Xi, et al.
Pubblicazione: (2025)

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
di: Lee, Seokjun, et al.
Pubblicazione: (2024)

Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
di: Peng, Yaopeng, et al.
Pubblicazione: (2024)

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
di: Lorenz, Peter, et al.
Pubblicazione: (2022)

MVAD: A Multiple Visual Artifact Detector for Video Streaming
di: Feng, Chen, et al.
Pubblicazione: (2024)

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
di: Wang, Hong, et al.
Pubblicazione: (2022)

Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
di: Cui, Han, et al.
Pubblicazione: (2024)

Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution
di: Zheng, Qingping, et al.
Pubblicazione: (2024)

OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
di: Mo, Qiao, et al.
Pubblicazione: (2024)

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
di: Li, Zilong, et al.
Pubblicazione: (2022)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
di: Shi, Yuxuan, et al.
Pubblicazione: (2023)

DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images
di: Angella, Paolo, et al.
Pubblicazione: (2025)

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
di: Ma, Chenglong, et al.
Pubblicazione: (2025)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
di: Ma, Wen, et al.
Pubblicazione: (2024)

Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
di: Yang, Xinquan, et al.
Pubblicazione: (2024)

FIND-Net -- Fourier-Integrated Network with Dictionary Kernels for Metal Artifact Reduction
di: Tasharofi, Farid, et al.
Pubblicazione: (2025)

Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
di: Liu, Xuan, et al.
Pubblicazione: (2023)

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution
di: Pereira-Sánchez, Ivan, et al.
Pubblicazione: (2025)

A Dual-domain Regularization Method for Ring Artifact Removal of X-ray CT
di: Zhu, Hongyang, et al.
Pubblicazione: (2024)

AS-Mamba: Asymmetric Self-Guided Mamba Decoupled Iterative Network for Metal Artifact Reduction
di: Ning, Bowen, et al.
Pubblicazione: (2026)

From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
di: Wu, Junyang, et al.
Pubblicazione: (2024)

Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction
di: Emirdagi, Ahmet Rasim, et al.
Pubblicazione: (2026)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
di: Fu, Guanyiman, et al.
Pubblicazione: (2023)

Robust Hyperspectral Image Panshapring via Sparse Spatial-Spectral Representation
di: Lee, Chia-Ming, et al.
Pubblicazione: (2025)

Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT
di: Wu, Qing, et al.
Pubblicazione: (2024)

Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
di: Korkmaz, Cansu, et al.
Pubblicazione: (2024)

PPMamba: A Pyramid Pooling Local Auxiliary SSM-Based Model for Remote Sensing Image Semantic Segmentation
di: Hu, Yin, et al.
Pubblicazione: (2024)

Plug-and-Play with 2.5D Artifact Reduction Prior for Fast and Accurate Industrial Computed Tomography Reconstruction
di: Duba-Sullivan, Haley, et al.
Pubblicazione: (2025)

MyGO: Make your Goals Obvious, Avoiding Semantic Confusion in Prostate Cancer Lesion Region Segmentation
di: Lin, Zhengcheng, et al.
Pubblicazione: (2025)