Directly, generating higher res stuff requires way more compute. But there are plenty of AI upscalers out there, some better, some worse. These are also built into Photoshop now. The difference between an AI image that is easy to spot and hard to spot is using good models. The difference between an AI image that is hard to spot and nearly impossible to spot is another 20 min of work in post.
I would say that it mostly depends on the complexity of the photo. Random Instagram model posing for the camera? You can get it out of the box with a press of a button in your machine. Complex photo with multiple subjects and cluttered background? That would need lots of human work.
I am definitely impressed by what it can do, but what real world demand does it fulfil? You know, apart from misinformation campaigns and the like. There may be some use cases, but enough to justify the huge investments?
I feel the bus one is actually quite easy to spot as fake. There’s no one with head down looking at their phone.
Most of these images have really shitty resolution as well. Can’t they generate higher res stuff or would inconsistencies otherwise be more obvious?
Directly, generating higher res stuff requires way more compute. But there are plenty of AI upscalers out there, some better, some worse. These are also built into Photoshop now. The difference between an AI image that is easy to spot and hard to spot is using good models. The difference between an AI image that is hard to spot and nearly impossible to spot is another 20 min of work in post.
Yeah, I don’t doubt it, but you still need human labour. Not anyone can simply fake a photo on a level that’s believable.
I would say that it mostly depends on the complexity of the photo. Random Instagram model posing for the camera? You can get it out of the box with a press of a button in your machine. Complex photo with multiple subjects and cluttered background? That would need lots of human work.
I am definitely impressed by what it can do, but what real world demand does it fulfil? You know, apart from misinformation campaigns and the like. There may be some use cases, but enough to justify the huge investments?