In this paper, we propose a novel detail generation and fusion network (DGFNet) to strengthen the generation of texture details for image inpainting, which�...
In this paper, we propose a novel detail generation and fusion network (DGFNet) to strengthen the generation of texture details for image inpaint- ing, which�...
In general, most of the deep image inpainting networks are based on auto-encoder architecture which is prevalent in image generation tasks. Some other deep�...
The network is divided into two parts: generator and discriminator; the generator proposes a attention transfer network cross layer based on the U-NET�...
People also ask
What is inpainting in image processing?
What is the objective of image inpainting?
For the second challenge, we propose the uncertainty-aware fusion network that can fuse the results of predictive filtering and generative network. We will�...
By fusing features at multiple scales, MSFM-RAM-Net can better preserve fine textured details while maintaining the overall consistency of the inpainted image.
WaveFill: A Wavelet-Based Generation Network for Image Inpainting [pdf] ... Parallel Multi-Resolution Fusion Network for Image Inpainting [pdf]. 2021�...
Abstract: With the recent development of deep learning technique, automatic image inpainting has gained wider appli- cations in computer vision and has also�...
Jun 1, 2023 � In this paper, we propose to restore the missing areas at both structural and textural levels. Our method is built upon a U-Net structure, which repairs images.
Oct 11, 2023 � 1: PFTA-Net: Progressive Feature Alignment and Temporal Attention Fusion Networks for Video Inpainting ... FEATURES COUPLING FOR IMAGE INPAINTING.
