PITI-Synthesis/PITI
A PyTorch framework that leverages pretrained models for various image-to-image translation tasks like sketch-to-image and mask-to-image synthesis.
Not currently ranked — collecting fresh signals.
star history
PITI is a universal image-to-image translation framework that transfers the power of large-scale pretraining to diverse translation tasks. It provides pretrained base and upsampling models that can synthesize images from various inputs including sketches and masks. The approach is designed to work across different translation scenarios without task-specific engineering.
Frequently asked
- What is PITI-Synthesis/PITI?
- A PyTorch framework that leverages pretrained models for various image-to-image translation tasks like sketch-to-image and mask-to-image synthesis.
- Is PITI open source?
- Yes — PITI-Synthesis/PITI is open source, released under the MIT license.
- What language is PITI written in?
- PITI-Synthesis/PITI is primarily written in Python.
- How popular is PITI?
- PITI-Synthesis/PITI has 502 stars on GitHub.
- Where can I find PITI?
- PITI-Synthesis/PITI is on GitHub at https://github.com/PITI-Synthesis/PITI.