facebookresearch/DeepFocus
DeepFocus: Learned Image Synthesis for Computational Displays
| repo name | facebookresearch/DeepFocus |
| repo link | https://github.com/facebookresearch/DeepFocus |
| homepage | https://research.fb.com/publications/deepfocus-learned-image-synthesis-for-computational-displays/ |
| language | Python |
| size (curr.) | 17419613 kB |
| stars (curr.) | 318 |
| created | 2018-12-10 |
| license | Other |
DeepFocus
This repository provides source code, network models, and datasets (~17GB) for the DeepFocus project from Facebook Reality Labs.
The source code and network models were implemented with TensorFlow with 32-bit precision.
If you use this code and/or dataset, please cite the publication: Lei Xiao, Anton Kaplanyan, Alexander Fix, Matt Chapman, Douglas Lanman, “DeepFocus: Learned Image Synthesis For Computational Displays”, SIGGRAPH Asia 2018.
The technical paper, video, and more supplementary materials can be found at: https://research.fb.com/publications/deepfocus-siggraph-asia-2018/
Check out our Oculus blog post that introduces DeepFocus: https://www.oculus.com/blog/introducing-deepfocus-the-ai-rendering-system-powering-half-dome/
License
DeepFocus is CC-BY-NC 4.0 (FAIR License) licensed, as found in the LICENSE file.
