icolbert / upsampling
Algorithmic solutions to optimize inference for convolution-based image upsampling. Coded for clarity, not speed.
☆10Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for upsampling
- Image Enhancement Zoo for collecting deraining, dehazing and brightening methods, datasets, and codes.☆43Updated 2 years ago
- The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"☆40Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 2 years ago
- Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolut…☆25Updated 3 years ago
- Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow☆29Updated 5 years ago
- re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)☆29Updated 6 years ago
- [Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"☆36Updated 2 years ago
- HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution☆58Updated 4 years ago
- ☆10Updated 4 years ago
- Squeeze-unet Semantic Segmentation for embedded devices☆29Updated 6 years ago
- Code for our IEEE TCSVT Paper: Lightweight Modules for Efficient Deep Learning based Image Restoration☆38Updated 4 years ago
- Deep Video Deblurring: The Devil is in the Details (ICCV Workshop 2019)☆17Updated 5 years ago
- Multi-scale deep neural networks for real image super-resolution☆27Updated 4 years ago
- Scale-wise Convolution for Image Restoration☆31Updated 4 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 4 years ago
- Dataset for low-light object detection using raw sensor data☆24Updated 2 years ago
- The github page for WACV 2021 paper: Legacy Photo Editing with Learned Noise Prior☆13Updated last year
- Pytorch implementation of our paper accepted by IEEE TMM, 2022 --Learning Efficient GANs for Image Translation via Differentiable Masks a…☆53Updated last year
- Unsharp Masking (USM) Layer, a new layer for deep learning that preprocesses the images with USM but optimizes the filter automatically☆12Updated 6 years ago
- Image downscaling & super-resolution project based on "Once for All: Train One Network and Specialize it for Efficient Deployment" (ICLR …☆13Updated 3 years ago
- Adaptive Transform Domain Image SR Via Orthogonally Regularized Deep Networks☆22Updated 5 years ago
- Generating RGB photos from RAW image files with PyNET-v2 Mobile☆20Updated 2 years ago
- TF 2 implementation Learning to Resize Images for Computer Vision Tasks (https://arxiv.org/abs/2103.09950v1).☆52Updated 3 years ago
- PyTorch code of our ICIP'19 paper "Improving Super-Resolution Methods via Incremental Residual Learning"☆8Updated 5 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated last year
- DeepISP: Learning End-to-End Image Processing Pipeline☆27Updated 6 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 3 years ago
- Single Image Deraining using a Recurrent Multi-scale Aggregation and Enhancement Network (ICME'19)☆21Updated 4 years ago
- codes for DeFiAN (TIP2021)☆24Updated 2 years ago
- Image Restoration Toolkit in PyTorch☆37Updated 4 years ago