5 ms·

Generating images from their descriptions

23 points by cocoflunchy 11y ago

hellofunk 11y ago
For the life of me, I cannot figure out how to actually view the images on this page. They are all extraordinarily small thumbnails with no way to click or enlarge them?
- Houshalter 11y ago
  Those are the full resolutions, presumably. Most of the demonstrations I've seen of NN generated images are really low resolution. I think it makes them much cheaper computationally, and the tiny images don't look as bad.
  - hellofunk 11y ago
    That makes sense, with so many images, it would indeed take a long time to build otherwise. I just wish my eyes could make sense of them!
deleted 11y ago
[deleted]
nl 11y ago
I think this is paper: http://arxiv.org/abs/1511.02793 http://arxiv.org/abs/1511.02793
sawwit 11y ago
Very interesting. I'm wondering whether statistics-based photo synthesis is actually viable. The main problem is that many kinds of scenes appear to require a precise geometrical understanding, e.g. sharp shadows that get cast on detailed surfaces by a desk lamp, or that a mirror would precisely reflect another object in the scene from a different angle. On the other hand, we don't require absolute precision, it just needs to be plausible enough to fool our eyes. If a shadow just looks roughly like the object that it casts, that should be enough. It seems to me that this still would require at least a rudimentary geometrical understanding/abstraction which will possibly require in comparison to this technique extremely sophisticated neural networks that can perform things like mental rotation, path integration, object recognition and have an understanding of object permanence.
lunasdejavu 11y ago
red hot chilli
deleted 11y ago
[deleted]
0x54MUR41 11y ago
Five days ago, I submitted an opposite project with this https://news.ycombinator.com/item?id=10518232 https://news.ycombinator.com/item?id=10518232. Generating little stories about image. The project is available here[1]. Author who develops this project is from University of Toronto too[2]. I thought it was same author when I read this. [1]: https://github.com/ryankiros/neural-storyteller https://github.com/ryankiros/neural-storyteller [2]: http://www.cs.toronto.edu/~rkiros/ http://www.cs.toronto.edu/~rkiros/

23 points by cocoflunchy 11y ago

For the life of me, I cannot figure out how to actually view the images on this page. They are all extraordinarily small thumbnails with no way to click or enlarge them?

Houshalter 11y ago
Those are the full resolutions, presumably. Most of the demonstrations I've seen of NN generated images are really low resolution. I think it makes them much cheaper computationally, and the tiny images don't look as bad.
- hellofunk 11y ago
  That makes sense, with so many images, it would indeed take a long time to build otherwise. I just wish my eyes could make sense of them!

deleted 11y ago

[deleted]

nl 11y ago

I think this is paper: http://arxiv.org/abs/1511.02793 http://arxiv.org/abs/1511.02793

sawwit 11y ago

Very interesting. I'm wondering whether statistics-based photo synthesis is actually viable. The main problem is that many kinds of scenes appear to require a precise geometrical understanding, e.g. sharp shadows that get cast on detailed surfaces by a desk lamp, or that a mirror would precisely reflect another object in the scene from a different angle. On the other hand, we don't require absolute precision, it just needs to be plausible enough to fool our eyes. If a shadow just looks roughly like the object that it casts, that should be enough. It seems to me that this still would require at least a rudimentary geometrical understanding/abstraction which will possibly require in comparison to this technique extremely sophisticated neural networks that can perform things like mental rotation, path integration, object recognition and have an understanding of object permanence.

lunasdejavu 11y ago

red hot chilli

deleted 11y ago

[deleted]

0x54MUR41 11y ago

Five days ago, I submitted an opposite project with this https://news.ycombinator.com/item?id=10518232 https://news.ycombinator.com/item?id=10518232. Generating little stories about image. The project is available here[1]. Author who develops this project is from University of Toronto too[2]. I thought it was same author when I read this. [1]: https://github.com/ryankiros/neural-storyteller https://github.com/ryankiros/neural-storyteller [2]: http://www.cs.toronto.edu/~rkiros/ http://www.cs.toronto.edu/~rkiros/