Adobe Max 大会公布四项 AI 实验工具,照片可走进 3D 场景、AI 角色可对话试镜
Adobe’s AI experiments let you walk around in photos and interview your characters
- 1Adobe 在 Max 大会公布四项实验性 AI 工具,均为技术预览,不保证会转为正式功能。
- 2Sight Span 可把照片、绘画等平面图像变成可走动探索的 3D 场景,画框外内容自动生成。
- 3Screen Test 用对话面试方式为 AI 角色设定性格、声音与背景故事,再生成动画试镜。
- 4Sound Bender 按文字生成音效并同步视频,Rinse Repeat 复制修图套用到同图他人或物品。
Adobe 这批预览的实质是把复杂专业创意流程改造成对话式和直觉化交互,同时预示现有素材库和部分传统创意工具可能被替代。
- 影响:修图、音效、镜头调整等技能门槛可能进一步降低,视觉内容制作对专业人手的依赖或被压缩;现有素材库和外包环节会进入替代讨论范围;但项目仍处预览阶段,暂不构成采购调整的时点。
- 参考:可考虑盘点内容制作中素材库采购、外包修图和音效制作的支出环节,评估哪些可能被替代;若相关功能进入 Creative Cloud 或 Firefly,值得先以小成本项目试用再决定是否改流程。
- 依据:功能描述为 Adobe 官方演示口径,暂无独立验证;The Verge 记者体验称 Screen Test 角色性格比她见过的许多 AI 动画角色更连贯;所有项目均为技术预览,无上线承诺。
Some of the most impressive tech that Adobe showcases at its annual Max conference each year is the experimental features it’s developing, and the latest of those tools are being announced today: they can transform images into explorable 3D scenes, design AI characters by talking to them, and turn photo editing into a copy/paste process.
The first (and weirdest, in my opinion) is Project Screen Test, which is designed to make AI-generated characters easier to develop and use for video content. Instead of just describing how the character should sound and behave in text prompts, the tool lets you talk to the character and direct them in an audition-like environment. You start by describing some base personality traits, such as “anxious, shy, awkward,” and giving the character a voice, either by selecting a preset, describing how it sounds in a prompt, or uploading sample audio for it to reference.
You can then expand its persona in further detail by conversing with the character as if you’re talking on FaceTime, outlining its backstory, temperament, goals, flaws, fears, movement quirks and more. Once you’re happy, the tool lets you generate animated screen tests with the character by describing an environment or scenario you want to put them in.
This is currently a standalone creative exercise, and it’s not clear how (or if) it could feature in any of Adobe’s existing AI video tools. The results provided a more identifiable and consistent personality compared to many soulless animated AI characters I’ve seen, but that’s the entire reason this exists — AI video generation provides far less creative control compared to traditional animation, where every aspect of a character is included with absolute intention.
There’s also Project Sight Span, which reframes photographs and images by turning them into a 3D environment that you can navigate through and reposition. The 3D space generates objects and backgrounds that are outside of the original frame, but feel like a natural part of the image, even if you’re turning to see what’s behind you. While the visuals in the 3D environment are pixelated and ill–defined, the resolution quality is restored when you select your chosen angle.
Sight Span works with any flat image, including photos, paintings, and illustrations, and can preserve and replicate artistic styles. Even repositioned tattoos and facial features in photographs remain surprisingly recognizable and true to the original reference. It’s a bit like a version of Apple’s Spatial Reframing feature on steroids: you can reposition more aggressively and change the shooting point entirely if you want, but it also feels far less deserving of being called a photo afterward.
Project Sound Bender is an AI audio mixing feature that lets you customize sound effects as if you’re clicking your cursor around a color wheel. It works by uploading a video clip and then describing your desired audio in a text prompt, such as “bubbling sci-fi cauldron noises.” Sound Bender then generates sound effects and automatically syncs it to the video, and provides a square sound canvas that lets you adjust the noises in real time. Each corner of the canvas will automatically assign a relevant AI-generated sound, such as dense gurgling with popping bubbles, rumbling boiling rocks, pitched bloops, and crackling electric fire. You can drag your cursor around the canvas to select which noises stand out the most, or customize each corner with different sound effects.
Adobe also showcased Project Rinse Repeat, which lets you copy edits and then automatically apply them to other objects or people in the same photo. For example, if you painstakingly airbrush out acne or blemishes on one person, Rinse Repeat will adapt your specific changes to anyone else in a group of people who need similar touchups. It can also be used to add shadows to products in marketing graphics, even if the objects are different shapes and sizes. Rinse Repeat is built around Photoshop, and the edits you apply to other subjects remain fully editable because the tool recreates them with native Photoshop tools.
These “sneaks” are tech previews of capabilities that might eventually be developed into tools for Adobe’s Creative Cloud apps or Firefly platform, so there’s no guarantee that they’ll graduate into being available features. Almost all of these projects are built around Adobe’s generative AI developments, however, and given AI tools now play a central role in the company’s growth strategy, it’s likely that at least some of the experiments will see an official launch. As wacky or fun as these AI experiments are, they’re also an omen. If they’re useful enough, that means AI may eventually replace the tools and stock libraries that creative professionals currently use, regardless of how complex their feelings are about the technology.
A notable theme across these sneaks is making complicated photo editing, filmmaking, and audio mixing workflows feel more accessible and intuitive, adapting them into something that’s more interactive and easy to use. In some cases the features almost seem like toys, but with the benefit of allowing you to make practical changes to creative projects.
“Making these interactions more intuitive is also about giving experienced creatives more precise control,” senior principle Adobe research scientist Gautham Mysore, told The Verge. “Sound Bender’s sonic exploration capability and Sight Span’s camera positioning are examples of how professionals could apply their judgment and refine a result more directly. That connection between creative intent and control is a big part of what we’re exploring.”
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- Jess Weatherbed
来源:The Verge · AI · theverge.com




