MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
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Updated
May 26, 2024 - Jupyter Notebook
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
A collection of AWESOME things about domian adaptation
Plugins for ImageTrans
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
(CVPR 2020) DUNIT: Detection-Based Unsupervised Image-to-Image Translation
Official code implementation of " TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image "
CVPR 2022 - Official PyTorch implementation of "A Style-Aware Discriminator for Controllable Image Translation"
[IJCNN 2024] Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
A collection of awesome resources image-to-image translation.
Code and data release for ICCP 2022 paper "Time-of-Day Neural Style Transfer for Architectural Photographs".
Research project aiming to collect a dataset of paired fog images and apply the pix2pix model to it, conducted at the University of Utah
Cloud based community-centered multilingual communication platform with Discussion Forum and image, text translation capabiities.
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.
Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)
Official pytorch implementation of ATME
Translates Japanese text in image snippets
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.
Deep learning-based convolutional neural network for contrast-enhanced MR image synthesis
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