Face Generation with DCGAN
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Updated
Apr 28, 2024 - Jupyter Notebook
Face Generation with DCGAN
Arc2Face: A Foundation Model of Human Faces
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Unmask: a realtime masked-face to unmasked-face conversion prototype on a live video-feed.
Face generation with deep convolutional generative adversarial network using PyTorch and Jupyter Notebook.
MaskGAN, face parsing, recognition, generation and editing. + train code
The public repository for my university undergraduate dissertation on the use of Swin Transformer GANs and how batch size and window size affect image quality
Collaborative Diffusion (CVPR 2023)
Face Generator with Diffusion Models and Pytorch
Generate new images of faces using Deep Convolutional Generative Adversarial Networks (DCGANs)
A game about smash or pass
Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.
[CVPR 2023 Highlight] StyleGene: Crossover and Mutation of Region-level Facial Genes for Kinship Face Synthesis
A face recognition solution on mobile device.
The CelebA dataset was used to train a DCGAN (Deep Convolutional Generative Adversarial Network). The project was broken down into a series of tasks, from loading in data to defining and training adversarial networks. The trained network generated new images of faces that seemed to be fairly realistic with reduced noise
Udacity nanodegree projects: DLND, DRLND, DAND
Udacity Deep Learning Nanodegree Program.
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