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

309,582 görüntüleme • 1 yıl önce •via X (Twitter)

11 Yorum

pedro lucca profil fotoğrafı
pedro lucca1 yıl önce

@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

UserInterface profil fotoğrafı
UserInterface4 yıl önce

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

Senses.AI profil fotoğrafı
Senses.AI1 yıl önce

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

Senses.AI profil fotoğrafı
Senses.AI1 yıl önce

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

titus profil fotoğrafı
titus1 yıl önce

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

Riley Brown profil fotoğrafı
Riley Brown1 yıl önce

@krea_ai does it work with an image upload?

Mac Baconai profil fotoğrafı
Mac Baconai1 yıl önce

@krea_ai 🧡

kie profil fotoğrafı
kie1 yıl önce

@krea_ai its so good

Florian profil fotoğrafı
Florian1 yıl önce

@krea_ai Love this!

Marcel Ohrenschall ⚡️ profil fotoğrafı
Marcel Ohrenschall ⚡️1 yıl önce

@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.

Attick profil fotoğrafı
Attick1 yıl önce

@krea_ai what the hell, this is sick af

Benzer Videolar

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.

AK

56,428 görüntüleme • 2 yıl önce