Docdiff: Document enhancement via residual diffusion models
Removing degradation from document images not only improves their visual quality and
readability, but also enhances the performance of numerous automated document analysis …
readability, but also enhances the performance of numerous automated document analysis …
Textdiff: Mask-guided residual diffusion models for scene text image super-resolution
The goal of scene text image super-resolution is to reconstruct high-resolution text-line
images from unrecognizable low-resolution inputs. The existing methods relying on the …
images from unrecognizable low-resolution inputs. The existing methods relying on the …
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
The efficient extraction of text information from the background in degraded color document
images is an important challenge in the preservation of ancient manuscripts. The imperfect …
images is an important challenge in the preservation of ancient manuscripts. The imperfect …
RAGDiffusion: Faithful Cloth Generation via External Knowledge Assimilation
X Tan, Y Li, W Shang, Y Wu, J Wang, X Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Standard clothing asset generation involves creating forward-facing flat-lay garment images
displayed on a clear background by extracting clothing information from diverse real-world …
displayed on a clear background by extracting clothing information from diverse real-world …
CCDWT-GAN: Generative adversarial networks based on color channel using discrete wavelet transform for document image binarization
To efficiently extract textual information from color degraded document images is a
significant research area. The prolonged imperfect preservation of ancient documents has …
significant research area. The prolonged imperfect preservation of ancient documents has …
An Efficient Transformer–CNN Network for Document Image Binarization
L Zhang, K Wang, Y Wan - Electronics, 2024 - mdpi.com
Color image binarization plays a pivotal role in image preprocessing work and significantly
impacts subsequent tasks, particularly for text recognition. This paper concentrates on …
impacts subsequent tasks, particularly for text recognition. This paper concentrates on …
Binarizing Documents by Leveraging both Space and Frequency
Abstract Document Image Binarization is a well-known problem in Document Analysis and
Computer Vision, although it is far from being solved. One of the main challenges of this task …
Computer Vision, although it is far from being solved. One of the main challenges of this task …
Efficient GANs for Document Image Binarization Based on DWT and Normalization
For document image binarization task, generative adversarial networks (GANs) can
generate images where shadows and noise are effectively removed, which allow for text …
generate images where shadows and noise are effectively removed, which allow for text …