The AI-Powered Tools Supercharging Your Imagination | Bilawal Sidhu | TED

70,916 views ・ 2023-09-01

TED


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翻译人员: Yip Yan Yeung
00:04
All right. Good afternoon, y’all.
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大家下午好。
00:06
Let's talk about blending reality and imagination.
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我们来聊一聊现实与想象的融合。
00:10
But first, let's take a step back in time to 2001.
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但首先,让我们倒退到 2001 年。
00:14
As an 11-year-old in India,
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我这个 11 岁的印度少年
00:16
I became obsessed with computer graphics and visual effects.
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爱上了计算机图形学和视觉效果。
00:20
Of course, at that age,
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当然,在那个年代,
00:21
it meant making cheesy videos kind of like this.
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等同于做做这种中二视频。
00:24
But therein started a foundational theme in my life,
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但也从此铺就了我的人生底色:
00:28
the quest to blend reality and imagination.
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追求现实与想象的融合。
00:31
And that quest has stayed with me
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这个追求伴随着我,
00:33
and permeated across my decade-long career in tech,
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贯穿了我在科技领域 十年的职业生涯,
00:36
working as a product manager at companies like Google
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在谷歌这样的公司 担任产品经理,
00:39
and as a content creator on platforms like YouTube and TikTok.
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也在 YouTube 和 TikTok 这样的平台担任内容创作者。
00:44
So today, let's deconstruct this quest to blend reality and imagination
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今天,我们来解构一下 对融合现实与想象的追求,
00:49
and explore how it’s getting supercharged -- buzzword alert --
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探索如何为它添砖加瓦, 流行词预警——
00:53
by artificial intelligence.
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借助人工智能的力量。
00:55
Let's start with the reality bit.
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从现实开始吧。
00:58
You probably heard about photogrammetry.
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你可能听说过摄影测量学。
01:01
It's the art and science of measuring stuff in the real world
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它是通过照片和其他传感器 测量现实事物的艺术和科学。
01:04
using photos and other sensors.
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01:07
What required massive data centers and teams of experts in the 2000s
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在 21 世纪初需要 大量数据中心和专家的工作
01:12
became increasingly democratized by the 2010s.
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到了 2010 年以后 就变得越来越触手可及。
01:16
Then, of course, machine learning came along
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当然,之后机器学习的发展
01:18
and took things to a whole new level
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将一切提升到了全新的高度,
01:20
with techniques like neural radiance fields, or NeRFs.
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利用了神经辐射场 (NeRF)这样的技术。
01:25
What you're seeing here is an AI model
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你眼前的是一个 AI 模型,
01:27
creating a ground-up volumetric 3D representation
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仅凭 2D 图像 生成立体 3D 呈现。
01:31
using 2D images alone.
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01:33
But unlike older techniques for reality capture,
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与传统用于现实捕捉的技术不同的是,
01:36
NeRFs do a really good job of encapsulating the sheer complexity
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NeRF 相当擅长捕捉现实的 微小细节和细微差别。
01:41
and nuance of reality.
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01:43
The vibe, if you will.
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也可以说是那个“味儿”。
01:46
Twelve months later, you can do all of this stuff
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12 个月以后,你就能用 你口袋里的 iPhone 做到这一切,
01:48
using the iPhone in your pocket,
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01:50
using apps like Luma.
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使用 Luma 这样的 app。
01:52
It's like 3D screenshots for the real world.
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就像是现实世界的 3D 截屏。
01:55
Capture anything once and reframe it infinitely in postproduction,
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捕捉一次,然后 在后期制作中改造无数次,
01:59
so you can start building that collection of spaces, places and objects
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你就能打造出你真正在乎的 空间、地点和物体的集合,
02:04
that you truly care about
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02:05
and conjure them up in your future creations.
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在你未来的创作中召唤它们。
02:09
So that's the reality bit.
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说完了现实。
02:11
As NeRFs were popping off last year,
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NeRF 从去年风靡起来,
02:13
the AI summer was also in full effect,
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AI 之夏也如火如荼,
02:16
with Midjourney, DALL-E 2, Stable Diffusion
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Midjourney、DALL-E 2、 Stable Diffusion,
02:20
all hitting the market around the same time.
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几乎在同一时间涌现在市场之中。
02:23
But what I fell in love with was inpainting.
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但我心仪的是图像修复。
02:26
This technique allows you to take existing imagery
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这项技术能让你使用现有图像,
02:29
and augment it with whatever you like,
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增强成你想要的任何样子,
02:31
and the results are photorealistically fantastic.
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结果逼真得要命。
02:35
It blew my mind
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我觉得惊为天人,
02:36
because stuff that would have taken me like three hours in classical workflows
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因为在传统工作流程中 需要花上我三个小时的工作
02:40
I could pull off in just three minutes.
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只需要三分钟就搞定了。
02:44
But I wanted more.
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但我想要的还不止这些。
02:45
Enter ControlNet,
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来看 ControlNet,
02:46
a game-changing technique by Stanford researchers
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由斯坦福大学研究者 研发的变革性技术,
02:49
that allows you to use various input conditions
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你可以使用各种输入条件
02:53
to guide and control the AI image generation process.
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引导、控制 AI 生成图像的过程。
02:57
So in my case, I could take the depth information
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以我自己的情况为例, 我可以使用 3D 扫描的
03:00
and the texture detail from my 3D scans
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深度和材质信息
03:03
and use it to literally reskin reality.
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为现实世界重新涂装。
03:06
Now, this isn't just cool video.
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不仅仅是炫酷的视频。
03:08
There’s a lot of useful use cases, too.
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还有很多实用的用途。
03:10
For example, in this case I'm taking a 3D scan of my parents' drawing room,
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比如,我用我父母的 “画室”的 3D 扫描,
03:16
as my mother likes to call it,
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我母亲喜欢这么称呼这间房间,
03:17
and reskinning it to different styles of Indian decor
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给它重新布置上 各式各样的印度装饰,
03:21
and doing so while respecting the spatial context and the layout
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同时考虑到了这个室内空间的 空间环境和布局。
03:25
of the interior space.
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03:28
If you squint, I'm sure you can see
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如果你细看,我相信你会发现
03:30
how this is going to transform architecture
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这会如何永久地改变 建筑和室内设计。
03:32
and interior design forever.
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03:35
You could take that 2016 scan of a Buddha statue
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你可以将一尊佛像的 2016 年扫描件
03:38
and reskin it to be gloriously golden
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涂成金灿灿的,
03:41
while pulling off these impossible camera moves
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没有别的方式可以让你 这么调整摄影角度。
03:43
you just couldn't do any other way.
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03:46
Or you could take that vacation footage from your trip to Tokyo
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你也可以用上 东京之行的度假录影,
03:50
and bring these cherry blossoms to life in a whole new way.
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用全新的方式重现樱花。
03:54
And let me tell you, cherry blossoms look really good during the day,
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我想告诉大家, 白天看樱花非常漂亮,
03:57
but they look even better at night.
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但晚上看更漂亮。
04:00
Oh, my God. They sure are glowing.
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天哪,它们在发光。
04:02
It's almost like this dreamlike quality
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你可以得到这种梦幻般的高质量,
04:04
where you can use AI to accentuate the best aspects of the real world.
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借助于 AI 突出现实世界的美好一面。
04:10
Natural landscapes look just as beautiful.
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自然景观风光绮丽。
04:12
Like this waterfall that could be on another planet.
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就像这道可以出现在 另一个星球上的瀑布。
04:15
But of course, you could go over the hills and far away
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当然,你也可以 翻山越岭,长途跋涉,
04:18
to the French Alps from another dimension.
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从另一个维度 前往法国阿尔卑斯山。
04:21
But it's not just static scenes.
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但这不仅限于静态的场景。
04:23
You can do this stuff with video, too.
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你可以将其用于视频。
04:26
I can't wait till this technology is running at 30 frames per second
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我迫不及待想看到 这项技术以每秒 30 帧地速度运行,
04:30
because it's going to transform augmented reality and 3D rendering.
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因为它将改变 增强现实和 3D 渲染。
04:34
I mean, how soon until we're channel-surfing realities
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我们再过不久就能在现实的基础上 跨越不同现实的“频道”了吧?
04:38
layered on top of the real world?
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04:41
Of course, just like reality capture got democratized,
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当然,正如现实捕捉的普及,
04:43
all these tools from last year are getting even easier.
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这些去年出现的工具 也越来越容易使用。
04:47
So instead of me spending hours
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不再由我花上日夜 把各种工具组合到一起,
04:49
weaving together a bunch of different tools,
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04:51
tools like Runway and Kaiber let you do exactly the same stuff
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而像 Runway 和 Kaiber 这样的工具已经能让你
04:56
with just a couple clicks.
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在点击之间达到同样的效果。
04:57
Want to go from day to night? No problemo.
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把白天换成夜晚?没问题。
05:00
Want to get that retro 90s aesthetic from "Full House"?
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想渲染一个 90 年代 《欢乐满屋》复古风?
05:04
You can do that too.
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当然可以做到。
05:06
But it goes beyond reality capture.
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还能超越现实捕捉的范畴。
05:09
Companies like Wonder Dynamics
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像 Wonder Dynamics 这样的公司
05:11
are turning video into this immaculate form of performance capture
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将视频转化为这种 精美的动作捕捉形式,
05:15
so you can embody fantastical creatures using the phone in your pocket.
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让你可以用口袋里的手机 展现神奇生物。
05:20
This is stuff that James Cameron only dreamt about in the 2000s.
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这是詹姆斯·卡梅隆 (James Cameron)
在 21 世纪初 只敢想一想的东西。
05:24
And now you could do it with your iPhone? That’s absolutely wild to me.
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你现在都可以用 iPhone 实现了?我觉得太牛了。
05:28
So when I look back at the past two decades
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我在回望过去的 20 年时,
05:31
and this ill-tailored tapestry of tools that I've had to learn,
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看到我得学习的工具大杂烩,
05:36
I feel a sense of optimism for what lies ahead
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我对下一代创作者眼前的未来 感到了一丝乐观。
05:38
for the next generation of creators.
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05:41
The 11-year-olds of today
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现在的 11 岁孩子 不用担心这堆烂事。
05:43
don't have to worry about all of that crap.
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05:45
All they need to do is have a creative vision
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他们只需要拥有 发挥创造力的畅想、
05:48
and a knack for working in concert with these AI models,
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与这些 AI 模型协同工作的技能,
05:52
these AI models that are truly a distillation
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这些 AI 模型真的是 人类智慧和创造力的精华。
05:55
of human knowledge and creativity.
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05:57
And that's a future I'm excited about,
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这是我期待的未来,
05:59
a future where you can blend reality and imagination
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一个可以用你值得信赖的 AI 助手 融合现实和想象的未来。
06:02
with your trusty AI copilot.
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06:05
Thank you very much.
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谢谢。
06:06
(Applause)
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(掌声)
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