Distance-based Weighted Transformer Network for image completion
The challenge of image generation has been effectively modeled as a problem of structure
priors or transformation. However, existing models have unsatisfactory performance in …
priors or transformation. However, existing models have unsatisfactory performance in …
Transformer-based Image and Video Inpainting: Current Challenges and Future Directions
Image inpainting is currently a hot topic within the field of computer vision. It offers a viable
solution for various applications, including photographic restoration, video editing, and …
solution for various applications, including photographic restoration, video editing, and …
Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
We present a method for large-mask pluralistic image inpainting based on the generative
framework of discrete latent codes. Our method learns latent priors discretized as tokens by …
framework of discrete latent codes. Our method learns latent priors discretized as tokens by …
AFTLNet: An efficient adaptive forgery traces learning network for deep image inpainting localization
X Ding, Y Deng, Y Zhao, W Zhu - Journal of Information Security and …, 2024 - Elsevier
Deep-learning-based image inpainting repairs a region with visually believable content,
leaving behind imperceptible traces. Since deep image inpainting approaches can …
leaving behind imperceptible traces. Since deep image inpainting approaches can …
[HTML][HTML] Towards Generating Authentic Human-Removed Pictures in Crowded Places Using a Few-Second Video
If we visit famous and iconic landmarks, we may want to take a photo of them. However,
such sites are usually crowded, and taking photos with only landmarks without people could …
such sites are usually crowded, and taking photos with only landmarks without people could …
Reference Image-assisted Auxiliary Feature Fusion in Image Inpainting
S Bai, L Lin, Z Hu, P Cao - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
Image inpainting has achieved remarkable advancement in improving image quality via
reconstructing the corrupted area with perceptual rationality. However, when the key …
reconstructing the corrupted area with perceptual rationality. However, when the key …
Deep sensor data fusion for environmental perception of automated systems
F Duffhauß - 2024 - tobias-lib.ub.uni-tuebingen.de
Automated systems require a comprehensive understanding of their surroundings to safely
interact with the environment. By effectively fusing sensory information from multiple sensors …
interact with the environment. By effectively fusing sensory information from multiple sensors …