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generative editing timelapse with Krea editor adding a pool, chimney, clouds, expanding image, moving house & trees

309,582 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля pedro lucca
pedro lucca1 год назад

@krea_ai when I was a teen I'd join "photomanipulations" contests on youtube we'd spend hours doing crazy shit manually on photoshop - this feels like a childhood dream come true

Фото профиля UserInterface
UserInterface4 лет назад

Need Professional Video Production, Music Videos, Commercials, Graphic Design, or Photo Retouching? We will take your project from concept to completion. #services #creative #DMV

Фото профиля Senses.AI
Senses.AI1 год назад

@krea_ai Architectural assets are grossly underestimated for generative AI, Well done!

Фото профиля Senses.AI
Senses.AI1 год назад

@krea_ai Allowing to bring and upload own pictures to improve a home improvement or home design would be a homerun!

Фото профиля titus
titus1 год назад

@krea_ai oh, edit already works with uploaded images. you can just take a photo on your phone and edit it in krea

Фото профиля Riley Brown
Riley Brown1 год назад

@krea_ai does it work with an image upload?

Фото профиля Mac Baconai
Mac Baconai1 год назад

@krea_ai 🧡

Фото профиля kie
kie1 год назад

@krea_ai its so good

Фото профиля Florian
Florian1 год назад

@krea_ai Love this!

Фото профиля Marcel Ohrenschall ⚡️
Marcel Ohrenschall ⚡️1 год назад

@krea_ai An issue I regulary have with midjourneys editor is that the output for altered areas looks artifical, lights and shapes are often misplaced, in photoshop that's even worse. This problem looks like perfectly mastered here with krea.

Фото профиля Attick
Attick1 год назад

@krea_ai what the hell, this is sick af

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Tencent presents TIP-Editor An Accurate 3D Editor Following Both Text-Prompts And Image-Prompts paper page: Text-driven 3D scene editing has gained significant attention owing to its convenience and user-friendliness. However, existing methods still lack accurate control of the specified appearance and location of the editing result due to the inherent limitations of the text description. To this end, we propose a 3D scene editing framework, TIPEditor, that accepts both text and image prompts and a 3D bounding box to specify the editing region. With the image prompt, users can conveniently specify the detailed appearance/style of the target content in complement to the text description, enabling accurate control of the appearance. Specifically, TIP-Editor employs a stepwise 2D personalization strategy to better learn the representation of the existing scene and the reference image, in which a localization loss is proposed to encourage correct object placement as specified by the bounding box. Additionally, TIPEditor utilizes explicit and flexible 3D Gaussian splatting as the 3D representation to facilitate local editing while keeping the background unchanged. Extensive experiments have demonstrated that TIP-Editor conducts accurate editing following the text and image prompts in the specified bounding box region, consistently outperforming the baselines in editing quality, and the alignment to the prompts, qualitatively and quantitatively.

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56,428 просмотров • 2 лет назад