Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
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Updated
Oct 18, 2025 - Python
Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
Using Pix2Pix GAN for translating Anime images to something more aesthetic
A PyTorch-based image synthesis and computer vision framework.
Sketch-to-Image Criminal Identification System using a pix2pix GAN trained on the CUHK dataset to generate realistic images from sketches. A classifier is then trained on mugshot data to identify individuals based on generated images, enhancing forensic sketch recognition with deep learning for accurate identification.
A PyTorch implementation of the Pix2Pix model (cGAN) for image-to-image translation. This project translates semantic segmentation maps to photorealistic images using the Cityscapes dataset.
Face Aging & De-Aging using CycleGAN, PyTorch, OpenCV and Gradio. AI-powered facial age transformation with an interactive web interface.
Analysis of different models for mobile ocular biometrics.
Colorizing grayscale facial images using a U-Net neural network architecture with Patch GAN
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
DCGAN trained on CelebA to generate 64×64 face images from scratch using PyTorch — with Comet ML experiment tracking
Bidirectional face age transformation (young↔old) with conditional CycleGAN — AdaIN, multi-scale discriminator, VGG perceptual loss, W&B tracking on RTX 6000 Ada
Unpaired Image-to-Image Translation using CycleGANs (horse2zebra)
Project based on Neural Style Transfer, implemented using a CycleGan architecture
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