[HTML][HTML] Terrestrial laser scanning in forest ecology: Expanding the horizon
Terrestrial laser scanning (TLS) was introduced for basic forest measurements, such as tree
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
height and diameter, in the early 2000s. Recent advances in sensor and algorithm …
Image inpainting based on deep learning: A review
Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …
widely used in image editing and photo inpainting etc. Traditional image inpainting …
Mat: Mask-aware transformer for large hole image inpainting
Recent studies have shown the importance of modeling long-range interactions in the
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
inpainting problem. To achieve this goal, existing approaches exploit either standalone …
Resolution-robust large mask inpainting with fourier convolutions
Modern image inpainting systems, despite the significant progress, often struggle with large
missing areas, complex geometric structures, and high-resolution images. We find that one …
missing areas, complex geometric structures, and high-resolution images. We find that one …
Image inpainting via conditional texture and structure dual generation
Deep generative approaches have recently made considerable progress in image
inpainting by introducing structure priors. Due to the lack of proper interaction with image …
inpainting by introducing structure priors. Due to the lack of proper interaction with image …
Deep learning for image inpainting: A survey
Image inpainting has been widely exploited in the field of computer vision and image
processing. The main purpose of image inpainting is to produce visually plausible structure …
processing. The main purpose of image inpainting is to produce visually plausible structure …
FFTI: Image inpainting algorithm via features fusion and two-steps inpainting
Y Chen, R **a, K Zou, K Yang - Journal of Visual Communication and …, 2023 - Elsevier
In view of the faultiness that the existing image inpainting methods fail to make full use of the
complete region to predict the missing region features when the object features are seriously …
complete region to predict the missing region features when the object features are seriously …
Pd-gan: Probabilistic diverse gan for image inpainting
We propose PD-GAN, a probabilistic diverse GAN forimage inpainting. Given an input image
with arbitrary holeregions, PD-GAN produces multiple inpainting results withdiverse and …
with arbitrary holeregions, PD-GAN produces multiple inpainting results withdiverse and …
Large scale image completion via co-modulated generative adversarial networks
Numerous task-specific variants of conditional generative adversarial networks have been
developed for image completion. Yet, a serious limitation remains that all existing algorithms …
developed for image completion. Yet, a serious limitation remains that all existing algorithms …
[HTML][HTML] DARGS: Image inpainting algorithm via deep attention residuals group and semantics
Y Chen, R **a, K Yang, K Zou - Journal of King Saud University-Computer …, 2023 - Elsevier
To solving the problems that the existing image inpainting methods lack authenticity, do not
deal with the information of missing and non-missing regions flexibly, and do not deal with …
deal with the information of missing and non-missing regions flexibly, and do not deal with …