Hongdong Liu's repositories
TATS
Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)
DiffuseVAE
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
vision-aided-gan
Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
Palette-Image-to-Image-Diffusion-Models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
RDDCNN
A robust deformed CNN for image denoising (CAAI Transactions on Intelligence Technology,2022)
gansformer
Generative Adversarial Transformers
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
TransBTS
This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).
Abnormal-to-Normal-Brain-MRI-translation-using-Cycle-Consistent-Adversarial-Loss
Using CycleGAN architecture with a problem specific custom loss to translate an MRI scan of brain containing tumor to its normal counterpart and vice versa via the cycle consistency, in order to address the issue of data scarcity in medical imaging
image2imageBrainMRI
Unpaired Image Translation for converting Brain MRI from Type T1 to T2 and vice-versa using CycleGAN
CycleGAN
Converting MRI Tr1 images to Tr2 using CycleGAN
vit-gan
paper: https://arxiv.org/abs/2110.09305
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
StyleSwin
StyleSwin: Transformer-based GAN for High-resolution Image Generation
stylegan2
StyleGAN2 - Official TensorFlow Implementation
nested-transformer
Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf
automl
Google Brain AutoML
stylegan
StyleGAN - Official TensorFlow Implementation
tpu
Reference models and tools for Cloud TPUs.
stargan-v2
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
imaginaire
NVIDIA's Deep Imagination Team's PyTorch Library
MUNIT
Multimodal Unsupervised Image-to-Image Translation
TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
TransGAN-1
This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.
instagan
InstaGAN: Instance-aware Image Translation (ICLR 2019)
ViTGAN-pytorch
A PyTorch implementation of VITGAN: Training GANs with Vision Transformers