liif
Image representation algorithm
This project presents an approach to learning continuous image representation using a local implicit function.
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
1k stars
21 watching
145 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list
implicit-neural-representationmachine-learningpytorchsuper-resolution
vsitzmann/awesome-implicit-representationsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 leoribeiro/struc2vec | An algorithm for learning node representations from graph structure and identity | 382 |
 jhoon-oh/fedbabu | An implementation of federated learning for image classification tasks | 51 |
 liuquande/feddg-elcfs | A framework for federated learning on medical image segmentation using continuous frequency space interpolation. | 240 |
 gink03/alt-i2v | An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 | 34 |
 sebgao/lip | Implementations of Local Importance-based Pooling (LIP) in PyTorch for image classification tasks. | 220 |
 fyu/dilation | This project provides a deep learning framework implementing dilated convolutions for semantic image segmentation | 781 |
 isekai-portal/link-context-learning | An implementation of a multimodal learning approach to improve language models' ability to recognize unseen images and understand novel concepts. | 89 |
 cmsflash/beauty-net | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
 libvips/pyvips | A Python binding for an image processing library with parallel execution and memory-efficient design. | 649 |
 jcupitt/libvips | An image processing library with low memory needs | 50 |
 uclanlp/elmo-c | Efficient Contextual Representation Learning Model with Continuous Outputs | 4 |
 sarababakn/mfcl-neurips23 | A framework for mitigating catastrophic forgetting in federated learning for vision tasks using data synthesis from past distributions. | 15 |
 zjelveh/learning-fair-representations | An implementation of Zemel et al.'s 2013 algorithm for learning fair representations in machine learning | 26 |
 ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
 hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |