What is AI photography?
recently、I often hear the term "AI photography"。However、This word is used loosely、It is often confused with AI image generation.。
in conclusion、**What is AI photography? “Among AI image generation、"Visuals that reproduce photographic expressions"**。
- AI image generation：All images created by AI
- AI photo：Among them, “photo-like expression”
In this article、Definition of AI photography、Differences with AI images、We will organize the mechanism by which AI can generate photo-realistic images.。
Difference between AI photo and AI image
What is AI image generation?
AI image generation、AI refers to the entire technology that creates new images。
- An illustration
- anime
- CG style image
- Photo-style visual
like this、AI image generationOverall visual production technologyです。
What is AI photography?
Among them, AI photography、Specifically, an image with the following elements。
- Composition that looks like it was taken with a camera
- lens expression
- reproduction of light
- real world texture
Specific example：
- AI portrait
- AI advertising photography
- AI product photos
Not just looks、The number of photos that are indistinguishable from real photos is increasing.。
Why can AI create images that look like photographs?
Effect of training data
AI is learning from huge amounts of photo data。
- Photo
- An illustration
- CG
- design
Especially since it contains a lot of photo data.、AIは
- How the light hits it
- Depth of the bounds written
- blur of lens
- texture of things
You can understand patterns such as。
How the diffusion model works
Mainstream technology for AI image generationDiffusion model。
Simply put、"A learning method for AI that gradually creates images from a screen full of noise"です。
1. Image of creating an image from noise
- At firstcompletely random noise(Sandstorm-like image)
- AI gradually organizes the noise、light and shape、create color
- ``Image that looks like a real photo'' is completed step by step
The point is、Rather than creating a perfect image from the beginning、shape in stagesThat's it.。
2. How learning works
The diffusion model is trained in two steps。
- Diffusion process
- Add noise little by little to the original photo to “destroy” it
- Learn to restore any noise to the original image
- Denoising / Generation）
- Learn how to restore the original image from noise piece by piece
- After learning、Images can be generated even from complete noisebecome like this
In other words、AI remembers how to correctly reproduce the original image from a state full of noise.。
3. Understand with familiar images
- sprinkle sand on the blackboard、Remove sand little by little to create a shape
- Clearing the outline little by little in the fog to reveal the scenery
With this feeling、AI processes noise by “shaving down” it.、light and subject of photography、reproduces the texture。
4. Why can we create realistic photos?
- Accurately learn patterns of light and texture
- Since it is generated in stages, natural shapes and shadows can be expressed.
- Structure is hard to break even at high resolution
the result、AI photos have a level of realism that is indistinguishable from real photos.have。
Difference between AI photography and photography
Cases where photography is required
- real person
- real place
- Liveness
- brand trust
- fact record
In such casesMust be photographed by a photographerです。
Cases where AI generation is possible
- Visual for image sharing
- virtual model
- concept visual
- Mass production image
like this、The number of areas where AI photography can be used is increasing.。
point：
Rather than “AI or photography?”、Use them differently depending on the production purpose and processIt is important that。
How to create visuals in the AI era
In modern visual production、Combining photography and AI generationhybrid productionis increasing。
The role of the photographer has expanded、
- Summarized shadow
- visual design
- concept design
- production direction
I am now also responsible for。
summary
- What is AI photography?：Visuals that reproduce photographic expressions in AI image generation
- Differences with AI image generation：Part of the entire AI image
- Why AI can be made realistic：Staged generation using huge amount of learning data + diffusion model
- Key points for production decisions：depending on the purpose、Differential use of photography and AI generation
AI photography will not take away photography、Division of roles in the production processis to realize。
▶︎ [How to make AI photos | How to make realistic photos with image generation AI]
▶︎ [Differences between AI photos and live-action photos | Limits of generated visuals]
▶︎ [What is AI image generation? How it works, technology, and what it can do]
