Poista häiriötekijät kuvista tekoälyllä 👉 https://youtu.be/f-27m_75wz8
Photoshopin uusi Remove Distractions-toiminto on valtava ajansäästäjä. Se poistaa parilla klikkauksella ihmiset tai maisemaa pilaavat sähköjohdot kuvista. Näytän videolla miten se toimii, sekä pari kikkaa sen käytöstä.
#Photoshop #HäiriötekijöidenPoisto #Kuvanmuokkaus #AutomaattinenPoisto #FindDistractions #RemoveTool #GeneratiivinenTekoäly #ContentAwareFill #Kuvankäsittely #EiTuhoavaEditointi #PiuhojenPoisto #IhmistenPoisto
Cleanup.pictures: How to Easily to Remove Objects From Your Photos
#postprocessing #software #tutorials #walkthroughs #websites #cleanuppictures #contentawarefill #free #howto #objectremoval #removeobject #removetext #stepbystep #tutorial #webapp
VSCO Adds Content-Aware Object Removal Tool to its App
VSCO has added a simple object removal tool to its iPhone and Android app. The tool works similarly to content aware tools in Photoshop or Samsung's Object Eraser.
VSCO argues, as has Samsung in the past, that visual clutter can overwhelm a photo and distract from features photographers may want to highlight.
"For a beach photo, that might be the blue and green tones of the waves rather than the people riding them. For an urban shot, that might be the street art in the foreground rather than the litter in the background," VSCO says in a journal post about the new feature.
In order to allow photographers to better control an image's focus, VSCO has added what it is calling the Remove tool to its smartphone photo capture and editing app. Remove is designed to let photographers easily select and edit out unwanted objects in a few short strokes of the finger.
Remove, which is still classified as a beta feature in VSCO's screenshots, has been added as one of the adjustment tools in the app's photo editor. Once selected, editors can adjust the brush size before using to wipe away unwanted visual clutter. Editors can also pinch to zoom into different parts of the photo to more easily focus on smaller details. VSCO also implemented undo and redo arrows that allow editors to make sure the photo meets with their expectations before completing the edit. VSCO does not state if the feature is destructive or if it creates a new version of the photo after edits are complete.
The feature clearly uses some kind of algorithm to fill spaces in a content-aware-like style, but does not go so far as to rely heavily on artificial intelligence like Samsung does with its Object Eraser. In that instance, Samsung will users just tap on objects to automatically remove them from a photo but doesn't appear to give the granular capabilities that VSCO shows in its Remove tool. Remove is, therefore, more akin to what is expected out of Adobe Photoshop than any other mobile application.
VSCO's Remove tool is part of its paid app, which costs $20 per year for membership.
#mobile #news #software #android #app #appstore #contentaware #contentawarefill #googleplay #ios #iphone #objectremoval #remove #removetool #vsco
New ‘Markpainting’ Tech Fights Watermark Removal and Deepfakes
A team of researchers has put together a new initiative with an available open-source code to help better detect deepfakes that have been edited to remove watermarks with the goal of avoiding the spread of misinformation.
Inpainting -- also known as "Content-Aware Fill" for Photoshop users -- is a method that uses machine-learning models to reconstruct missing pieces of an image or to remove unwanted objects. Although it is generally used as a tool among creatives to "clean up" the image for a more fine-tuned result, this technology can also used for malicious intentions, such as removing watermarks, reconstructing the reality by removing people or certain objects in the photos, adding false information, and more.
This type of technology has greatly developed in recent years, with the notable example of NVIDIA’s AI-powered “Content-Aware Fill”, which goes a step further than Photoshop's already advanced tools. Manipulating images with malicious intent can cause not only profit loss from image theft by removing watermarks or other visual copyright identifying factors, but it can also lead to the spread misinformation in the case of its ability to remove a person from a crime scene photo, scam people or businesses, even destabilize politics in a case earlier reported by PetaPixel.
To make inpainting abuse more difficult, a team of researchers -- David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, and Ross Anderson -- have put together an initiative, called "Markpainting," as spotted by Light Blue Touchpaper. It is a novel tool that can be used as "a manipulation alarm that becomes visible in the event of inpainting."
This tool, described in detail by the team's paper, uses "adversarial machine-learning techniques to fool the inpainter into making its edits evident to the naked eye", whereby the "image owner can modify their image in subtle ways which are not themselves very visible, but will sabotage any attempt to inpaint it by adding visible information determined in advance by the markpainter."
ML makes it easy to manipulate images. In a twist on adversarial ML, @DavidobotGames @iliaishacked prevent malicious applications of "inpainting" (filling in a missing portion of an image) by adding an adversarial example perturbation to an image. pic.twitter.com/09O6SAn3nB
— Nicolas Papernot (@NicolasPapernot) June 9, 2021
Which of the images was inpainted? Modern ML makes it easy to manipulate media, helping misinformation campaigns. How can one stop it? We developed Markpainting to make it harder. https://t.co/fKj8HQFGKf #ICML2021 w/ @rossjanderson @NicolasPapernot pic.twitter.com/78gFUJJ9cI
— Ilia Shumailov🦔 (@iliaishacked) June 7, 2021
This research, which is supported by CIFAR (through a Canada CIFAR AI Chair), EPSRC, Apple, Bosch Research Foundation, NSERC, and Microsoft, brings new ways for creators, companies, and agencies to better protect their digital assets in the future. Making watermarks less removable gives greater security and profit protection, while other images could be treated so that any future manipulation, such as object removal, becomes easier to detect.
The idea of manipulated image and video detection is not new; research and development in this area is ongoing, however, it is yet to be seen how and when this technology can catch up to successfully stop manipulation attempts.
The full research paper and the tests performed using this "Markpainting" technique can be found on the team's research paper "Markpainting: Adversarial Machine Learning meets Inpainting."
#industry #news #postprocessing #technology #ai #contentaware #contentawarefill #deepfake #deepfakes #fakenews #inpainting #markpainting #prevention #researchers #scientists #watermark #watermarking
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