nilboy/pixel-recursive-super-resolution
A TensorFlow implementation of Google Brain's Pixel Recursive Super Resolution paper for enhancing image resolution.
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This repository implements the pixel-recursive super-resolution technique from a Google Brain research paper using TensorFlow. It employs PixelCNN and PixelRNN architectures to generate high-resolution images from low-resolution inputs. The model is trained on the CelebA dataset and uses cross-entropy loss for training.
Frequently asked
- What is nilboy/pixel-recursive-super-resolution?
- A TensorFlow implementation of Google Brain's Pixel Recursive Super Resolution paper for enhancing image resolution.
- Is pixel-recursive-super-resolution open source?
- Yes — nilboy/pixel-recursive-super-resolution is open source, released under the MIT license.
- What language is pixel-recursive-super-resolution written in?
- nilboy/pixel-recursive-super-resolution is primarily written in Python.
- How popular is pixel-recursive-super-resolution?
- nilboy/pixel-recursive-super-resolution has 479 stars on GitHub.
- Where can I find pixel-recursive-super-resolution?
- nilboy/pixel-recursive-super-resolution is on GitHub at https://github.com/nilboy/pixel-recursive-super-resolution.