📃: SRGAN (Super-Resolution Generative Adversarial Network)

[ananyakaligal]

🔴 SRGAN (Super-Resolution Generative Adversarial Network)
🔴 Aim: To develop a deep learning model that enhances the resolution of images, converting low-resolution images into high-resolution ones.

🔴 Brief Explanation: This project involves implementing the SRGAN architecture, which consists of a generator and a discriminator. The generator takes low-resolution images as input and produces high-resolution images, while the discriminator evaluates the realism of the generated images. The model is trained on a dataset of images, learning to improve image quality through adversarial training.

Screenshots 📷

✅ To be Mentioned while taking the issue:

Full name: Ananya Kaligal
What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.): GSSOC Hacktoberfest
Happy Contributing 🚀

[github-actions]

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

Feel free to join our community on Discord to discuss more!

[github-actions]

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!