It's possible. But 3D data (3D models, videos) are much more difficult to model via a deep neural net. While most of the researchers focus on modeling 2d images in recent years, there are a few work on 3D. For example,…
We are working on something similar to your idea. We generate sketch images from real images automatically and train a model on the sketch images. So ideally, if a user draw the left wheel of the bicycle, the system…
I actually did two internship there. The Seattle lab did ship many new features like content-aware fill, shake reduction introduced in Photoshop CC 2015. The researchers there also has lots of freedom to explore…
https://github.com/psal/anonymouth Nice logo:)
This is a brilliant idea. I guess it would be difficult for this work to accomplish as you need to train a neural net on tons of data (like 100k images, or millions), and we cannot find so many paintings with consistent…
Sure. The current generative models cannot produce good details, and the generated images are often low resolution (e,g. 64x64). In the paper, we tried to enhance the low res result by stealing the high res details from…
Yes! In 1948, Shannon proposed using a Markov chain to create a statistical model of the sequences of letters in a piece of English text and this model can be used to generate random text given some existing text.…
You are absolutely right. I believe this deep learning technique is a fancy way for mixing many many images automatically given a user's guidance.
Thanks for sharing our work. Check out the full video: https://m.youtube.com/watch?v=9c4z6YsBGQ0 This work is a deep learning extension of our previous average image project: https://m.youtube.com/watch?v=1QgL_aPPCpM.…
Thank you guys for the interest. The interactive image generation interface as well as trained models are available at https://github.com/junyanz/iGAN. It is still under active development and let me know if you find…
It's possible. But 3D data (3D models, videos) are much more difficult to model via a deep neural net. While most of the researchers focus on modeling 2d images in recent years, there are a few work on 3D. For example,…
We are working on something similar to your idea. We generate sketch images from real images automatically and train a model on the sketch images. So ideally, if a user draw the left wheel of the bicycle, the system…
I actually did two internship there. The Seattle lab did ship many new features like content-aware fill, shake reduction introduced in Photoshop CC 2015. The researchers there also has lots of freedom to explore…
https://github.com/psal/anonymouth Nice logo:)
This is a brilliant idea. I guess it would be difficult for this work to accomplish as you need to train a neural net on tons of data (like 100k images, or millions), and we cannot find so many paintings with consistent…
Sure. The current generative models cannot produce good details, and the generated images are often low resolution (e,g. 64x64). In the paper, we tried to enhance the low res result by stealing the high res details from…
Yes! In 1948, Shannon proposed using a Markov chain to create a statistical model of the sequences of letters in a piece of English text and this model can be used to generate random text given some existing text.…
You are absolutely right. I believe this deep learning technique is a fancy way for mixing many many images automatically given a user's guidance.
Thanks for sharing our work. Check out the full video: https://m.youtube.com/watch?v=9c4z6YsBGQ0 This work is a deep learning extension of our previous average image project: https://m.youtube.com/watch?v=1QgL_aPPCpM.…
Thank you guys for the interest. The interactive image generation interface as well as trained models are available at https://github.com/junyanz/iGAN. It is still under active development and let me know if you find…