Drop the gan: In defense of patches nearest neighbors as single image generative models

N Granot, B Feinstein, A Shocher… - Proceedings of the …, 2022 - openaccess.thecvf.com
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …
被引用次数：69 相关文章

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein, A Shocher… - 2022 IEEE/CVF …, 2022 - weizmann.elsevierpure.com
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein… - 2022 IEEE …, 2022 - weizmann.esploro.exlibrisgroup.com
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein, A Shocher, S Bagon… - 2022 IEEE/CVF …, 2022 - computer.org
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein… - 2022 IEEE …, 2022 - … .esploro.exlibrisgroup.com
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein, A Shocher, S Bagon… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Single image generative models perform synthesis and manipulation tasks by capturing the
distribution of patches within a single image. The classical (pre Deep Learning) prevailing …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein, A Shocher… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein, A Shocher, S Bagon… - arXiv preprint arXiv …, 2021 - arxiv.org
Single image generative models perform synthesis and manipulation tasks by capturing the
distribution of patches within a single image. The classical (pre Deep Learning) prevailing …

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

N Granot, B Feinstein… - 2022 IEEE …, 2022 - … .esploro.exlibrisgroup.com
Image manipulation dates back long before the deep learning era. The classical prevailing
approaches were based on maximizing patch similarity between the input and generated …