圖像修復一PD-GAN

由 Y Yu 著作 · 2022 · 被引用 19 次 — Abstract:Image inpainting seeks a semantically consistent way to recover the corrupted image in the light of its unmasked content.

由 D Cha 著作 · 2022 · 被引用 11 次 — Our proposed DAM-GAN concentrates on detecting fake texture and products dynamic attention maps to diminish pixel inconsistency from the feature ...

AOT-GAN for High-Resolution Image Inpainting · Enhancing context reasoning by AOT Block in the generator. · download images and masks · Training: · Download the pre ...

2022年7月31日 — We propose cascaded modulation GAN (CM-GAN) with a new modulation design that cascades global modulation with spatial adaptive modulation. To ...

由 H Liu 著作 · 2018 · 被引用 25 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 ...

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

由 A Sargsyan 著作 · 2023 · 被引用 8 次 — We propose MI-GAN, to the best of our knowledge the first mobile generative image inpainting network. • We develop a customized knowledge distillation method ...

由 J Yu 著作 · 2018 · 被引用 2698 次 — Recently, deep learning and GAN-based approaches have emerged as a promising paradigm for image inpaint- ing. Initial efforts [21, 37] train convolutional ...

In order to make full use of the correlation between each channel, this paper proposes a Quaternion Generative Adversarial Neural Network (QGAN) model and ...

2023年8月12日 — Explore the world of high-resolution image inpainting with the AOT-GAN model. This blog post delves into the challenges, solutions, ...