iwyoo / bicubic_interp-tensorflow
A differentiable bicubic interpolation module for TensorFlow
☆23Updated 6 years ago
Related projects: ⓘ
- Tensorflow with Image Super-Resolution Using Dense Skip Connections , color☆36Updated 6 years ago
- pix2pix and PAN(Parceptual Adversarial Networks) in PyTorch☆31Updated 6 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 6 years ago
- Inception score for measuring quality of images generating from GAN☆43Updated 6 years ago
- Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising☆32Updated 7 years ago
- PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"☆14Updated 7 years ago
- Pytorch implementation of Multi-Mapping Image-to-Image Translation with Central Biasing Normalization☆13Updated 6 years ago
- SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. ACCV 2018☆83Updated 4 years ago
- Pytorch implementation for SRDenseNet (ICCV2017)☆66Updated 6 years ago
- One Network to Solve Them All☆85Updated 5 years ago
- An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks ICONIP‘18☆11Updated 6 years ago
- Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks☆28Updated 5 years ago
- improved Wasserstein GAN keras☆12Updated 7 years ago
- Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)☆59Updated 5 years ago
- Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)☆118Updated 5 years ago
- Pytorch implementation of Image Manipulation with Perceptual Discriminators paper☆124Updated 5 years ago
- Image super-resolution through deep learning☆19Updated 7 years ago
- Code for reproducing experiments in "Improved Training of Wasserstein GANs"☆20Updated 7 years ago
- Learning a Spatial Activation Function for Efficient Image Restoration☆88Updated 3 years ago
- Tensorflow Implementation: Johnson, J., Alahi, A. and Fei-Fei, L., 2016, October. Perceptual losses for real-time style transfer and supe…☆11Updated 5 years ago
- A PyTorch Implementation for Octave Convolution in Drop an Octave☆45Updated 5 years ago
- Learning image-to-image translation using paired and unpaired training samples☆19Updated 3 years ago
- PyTorch Implementation of "Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation"☆43Updated 5 years ago
- RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D …☆81Updated 4 years ago
- Tensorflow based Implementation of the CVPR2018 paper: Learning Dual Convolutional Neural Networks for Low-Level Vision☆43Updated 6 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆88Updated 6 years ago
- Port a MatConvNet trained model to TensorFlow (python) model.☆8Updated 6 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 5 years ago
- Pytorch 0.4 implementation of a convolutional deconvolutional network. Can be used for Semantic Segmentation, and Image Processing☆35Updated 6 years ago
- calculate ssim loss via tensorflow, RGB or grayscale☆18Updated 4 years ago