interactivecolorization

由JYun著作·2022·被引用4次—Abstract:Point-interactiveimagecolorizationaimstocolorizegrayscaleimageswhenauserprovidesthecolorsforspecificlocations.,由JYun著作·2022·被引用4次—Point-interactiveimagecolorizationaimstocolorizegrayscaleimageswhenauserprovidesthecolorsforspe-cificlocations.,由YXiao著作·2018·被引用19次—Tosolvethisproblem,wepresentanoveldeepcolorizationmethod,whichallowssimultaneousglob...

[2207.06831] iColoriT

由 J Yun 著作 · 2022 · 被引用 4 次 — Abstract:Point-interactive image colorization aims to colorize grayscale images when a user provides the colors for specific locations.

arXiv

由 J Yun 著作 · 2022 · 被引用 4 次 — Point-interactive image colorization aims to colorize grayscale images when a user provides the colors for spe- cific locations.

Interactive Deep Colorization With Simultaneous Global ...

由 Y Xiao 著作 · 2018 · 被引用 19 次 — To solve this problem, we present a novel deep colorization method, which allows simultaneous global and local inputs to better control the ...

iColoriT (WACV 2023) Official Implementation

Abstract: Point-interactive image colorization aims to colorize grayscale images when a user provides the colors for specific locations.

junyanzinteractive-deep

Deep learning software for colorizing black and white images with a few clicks. - GitHub - junyanz/interactive-deep-colorization: Deep learning software for ...

Deep Edge

由 E Kim 著作 · 2021 · 被引用 23 次 — As an interactive ap- proach, we design an edge-enhancing network E to take scribbles, which annotates the color-bleeding edges, as ad- ditional inputs. These ...

iColoriT

由 J Yun 著作 · 2023 · 被引用 4 次 — Point-interactive image colorization aims to colorize grayscale images when a user provides the colors for spe- cific locations.

Point

Point-interactive colorization is a task of colorizing images given user-guided clicks containing colors (a.k.a color hints). Unlike unconditional image ...

A-ColViT: Real

由 G Lee 著作 · 2023 — Reference-based colorization is one of the most popular interactive methods, which uses single reference images to provide overall color informa- tion (He et al ...

Real-Time User

Abstract. We propose a deep learning approach for user-guided image colorization. The system directly maps a grayscale image, along with sparse, local user ...