Image Regeneration with Human and AI collaboration
We are working to make a product that regenerates more detailed and extensive
images with the same context given as an input image by the user. Image is
inserted as a reference image to the model that generates editable captions (five
each). The caption selected by the human is used as a final decision for the
machine learning model (Stable Diffusion), which uses that textual data as an
input to regenerate set of images. It is a web based application inheriting all the
features of human in the loop approach and advance AI model. User is given the
opportunity to download the desired images to its personal computer or re-diffused
for the further regeneration. Its an hybrid model that rely on both AI and Human
interaction.
Keywords: interaction. Project Keywords AI, ML, CLIP, Stable Diffusion, Django , WebApp
Tools: ML models, Django , HTML, CSS
Department: Department of Computer Science
Project Team Members
| Name |
Email |
|
Sidra Iqbal
|
Sidrah2019@namal.edu.pk |
|
Wajeeh Ul Hassan
|
Wajeeh2019@namal.edu.pk |
Project Poster
