2021年11月17日

Facet是一款基於API和基於瀏覽器的內容感知人工智能(AI)照片編輯器，在a輪融資中籌集了1300萬美元，用於繼續構建有機會徹底改變照片編輯領域的工具。Facet的首席執行官兼聯合創始人喬·雷辛格解釋說:“為了在日益激烈的競爭中脫穎而出，如今的品牌承受著巨大的壓力，必須每天製作高質量、多樣化的內容。”“但現代圖像編輯仍停留在Photoshop的模式中:笨重的打印時代的軟件工具，從未適應當今快節奏、自動化的營銷工作流程或對變化、一致性和高功能遠程協作的需求。”為了解決這個問題，Facet正在構建它認為創意專業人士需要的工具，包括一個內容感知的圖像編輯平台。Facet以一種可以使用api訪問的方式構建了其編輯工具，這意味著編輯器可以執行極其強大的批處理命令，就像Snapchat照片過濾器、Adobe Lightroom批處理編輯和Photoshop的靈活性之間的混搭一樣。TechCrunch的攝影師哈吉·簡·坎普斯(Haje Jan Kamps)寫了大約20本以攝影為主題的書籍，他花了一些時間來研究Facet在做什麼，在他親眼看到這個工具之前，他不太確定該公司在做什麼，也不太確定它是為誰服務的。這並不特別令人驚訝，因為Facet正在構建的東西很難用語言表達。然而，在他親身體驗之後，他意識到，在他能夠跨越公司具有挑戰性的學習曲線之後，他能夠快速地在這個平台上進行編輯，這對他來說在Photoshop中是很難或完全不可能的。Facet表示，它專注於編輯內容，而不是像素。該公司希望通過使用人工智能自動分層來加速圖像編輯工作流程。 Facet says its system understands how to mask everything from clothing, hair, and skin tones to textures and quarter-tone luminance ranges, which it says frees up its user to focus on big picture concepts, instead of pixel-level edits. Kamps says that Facet’s technology is designed to make commercial-grade editing easier and more automated by allowing users to create custom filters and commands that can apply to a host of possible uses. For example, Kamps made a filter that automatically isolates a subject and then blurs and desaturates the background instantly. The results are mixed, but when it works well, it works really well. “As you edit an image and layer on those changes, we analyze every edit and we figure out how to transfer that across a much larger content library, building you your presets automatically. This is very powerful for maintaining brand consistency across a campaign for making sure that all your product, photographs, are consistent,” Reisinger tells Kamps. Facet is able to handle photos and projects at a massive scale which is great for eCommerce or media sites, but not particularly useful for individual photographers. Reisinger says that Facet is working on a consumer-grade platform that hobbists could use, but the real power of what it is creating really only shines when used by creative software developers who know how to leverage the company’s APIs. “One aspect I really like about Facet is that it enables asynchronous collaboration. You can define the style of a photo, and designers can use the same style on lots of different photos without having to manually edit each of the photos. You can encode the look and feel of a photo programmatically, and copy them across from one image to another,” Dan Abelon, partner at Two Sigma Ventures which was one of the lead investors of Facet’s Series A round of funding. “You start to get into the more community side — if you like someone’s style, you can apply it to your own images, which opens up a whole world of real-time collaboration.” Facet is still very early on in its journey, but the large investment of it received will go a long way to expanding its team and figuring out a clearer go-to-market strategy. “This is really just the beginning for us,” Reisinger says. “We’re blending state-of-the-art deep learning, rendering, and VFX, to remake photo and video editing in human, rather than machine, terms. Very soon, working with Facet will be as easy and fluid as having a conversation.” Facet is currently allowing free trials of its platform as well as plans that start at $24 per month for professional users and $50 per month for users who want access to its APIs.