image-quality-assessment
student-teacher-anomaly-detection
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image-quality-assessment | student-teacher-anomaly-detection | |
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2 | 1 | |
2,000 | 172 | |
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Python | Python | |
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image-quality-assessment
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And so it begins: AI(Midjourney) wins art competition without anyone realising.
It's an ongoing research area, but here's a Google model that assigns images ratings based on how good they look. It's pretty good, and it's from 2019 so not even close to state of the art. Paired with Stable Diffusion, it could indeed curate itself. I might have to try that actually.
- Extracting Images from Video
student-teacher-anomaly-detection
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[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
What are some alternatives?
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
DarkMark - Marking up images for use with Darknet.
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
imagededup - 😎 Finding duplicate images made easy!
HyperGAN - Composable GAN framework with api and user interface
These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"