Pinned Repositories
ALEX
custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion
Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Fill-Up
generative-robustness
Create generated datasets and train robust classifiers
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
posco2023_case_study
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
InstantDrag
InstantDrag: Improving Interactivity in Drag-based Image Editing
alex4727's Repositories
alex4727/Fill-Up
alex4727/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
alex4727/ALEX
alex4727/custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion
alex4727/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
alex4727/generative-robustness
Create generated datasets and train robust classifiers
alex4727/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
alex4727/posco2023_case_study
alex4727/POSMAP
2020 UGRP POSMAP Websites part implementation
alex4727/repurpose-gan
Implementation of Repurposing GANs for One-shot Semantic Part Segmentation
alex4727/stable-diffusion
alex4727/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
alex4727/stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
alex4727/stylegan2-ada-pytorch
StyleGAN2-ADA - Official PyTorch implementation
alex4727/stylegan3
Official PyTorch implementation of StyleGAN3
alex4727/textual_inversion
alex4727/TransGAN
[Preprint] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang