ImageinpaintingGAN

Enhancing context reasoning by AOT Block in the generator. The AOT blocks aggregate contextual transformations with different receptive fields, allowing to ...

由 D Cha 著作 · 2022 · 被引用 6 次 — Our proposed DAM-GAN concentrates on detecting fake texture and products dynamic attention maps to diminish pixel inconsistency from the feature ...

由 J Yu 著作 · 2018 · 被引用 2466 次 — Recently, deep learning and GAN-based approaches have emerged as a promising paradigm for image inpaint- ing. Initial efforts [21, 37] train convolutional ...

由 Y Yu 著作 · 2022 · 被引用 12 次 — Abstract:Image inpainting seeks a semantically consistent way to recover the corrupted image in the light of its unmasked content.

Method. We propose cascaded modulation GAN (CM-GAN) with a new modulation design that cascades global modulation with spatial adaptive modulation. To enable ...

Image Inpainting** is a task of reconstructing missing regions in an image. It is an important problem in computer vision and an essential functionality in ...

由 H Liu 著作 · 2018 · 被引用 23 次 — In this paper, using the GAN network structure, we propose a inpainting method which constrains the repair process using the neighborhood loss function and ...

由 A Sargsyan 著作 · 2023 · 被引用 1 次 — In this paper we introduce MI-GAN, the first generative mobile image inpainting network. By using depthwise sep- arable convolutions, model re ...

2021年9月24日 — 圖像修復一PD-GAN: Probabilistic Diverse GAN for Image Inpainting.