KKhyeok / SuperstarGANLinks
"SuperstarGAN: Generative adversarial networks for image-to-image translation in large-scale domains" in Neural Networks (Volume 162, May 2023, Pages 330-339).
☆13Updated 2 years ago
Alternatives and similar repositories for SuperstarGAN
Users that are interested in SuperstarGAN are comparing it to the libraries listed below
Sorting:
- On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior☆21Updated 5 years ago
- Code for "HyperRecon: Computing Multiple Image Reconstructions with a Single Hypernetwork"☆21Updated 3 years ago
- Uncertainty Guided Progressive GANs for Medical Image Translation☆54Updated 4 years ago
- Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020☆29Updated 4 years ago
- SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models☆31Updated 2 years ago
- The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow☆47Updated 2 years ago
- 【MICCAI2023】Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images☆22Updated last year
- Official Implementation of Poisson2Sparse - MICCAI 2022☆15Updated 3 years ago
- Official Implementation of Early Stopping for Deep Image Prior (TMLR)☆28Updated last year
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 3 years ago
- Official TensorFlow implementation of Self-Supervised MRI Reconstruction with Unrolled Diffusion Models☆37Updated 2 years ago
- Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…☆32Updated 2 years ago
- Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.☆32Updated 4 years ago
- Combining image-to-image and class guided denoising diffusion probabilistic models.☆52Updated 2 years ago
- MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction☆13Updated last year
- MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction☆31Updated 3 years ago
- Deform2Self☆21Updated 3 years ago
- Unpaired Image Translation, Neurips2022☆25Updated 2 years ago
- Towards performant and reliable undersampled MR reconstruction via diffusion model sampling☆66Updated 2 years ago
- Patch2Self Denoising - NeurIPS 2020 Spotlight Presentation☆26Updated 5 months ago
- A knowledge distillation framework for image reconstruction and image restoration in MRI workflow☆23Updated 2 years ago
- [arXiv Preprint] Official PyTorch Implementation of "Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality A…☆17Updated 2 years ago
- ☆24Updated 4 years ago
- [IEEE J-BHI] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation☆81Updated 2 years ago
- ☆35Updated 4 years ago
- Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces☆84Updated 4 months ago
- Reimplementation of "A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology".☆19Updated 3 years ago
- The official implementation of "Rank-One Network: An Effective Framework for Image Restoration" via TensorFlow☆22Updated 4 years ago
- Deep inverse problems in Python☆60Updated 4 months ago
- An implementation of Steerable Conditional Diffusion Sampler☆15Updated 7 months ago