Abstract: Among the dictionary-based image super-resolution algorithms, the anchored neighborhood regression (ANR) super-resolution algorithm has attracted extensive attention due to its superior ...

This codebase has been tested with python 3.9.16 and pytorch 2.0.0. I recommend creating a new virtual env (e.g. with Conda), then installing torch manually from pytorch.org. pip install -r ...

Apple researchers have developed an AI model that recovers detail from raw sensor data that would normally be lost. Here's ...

The model, called SHARP, can reconstruct a photorealistic 3D scene from a single image in under a second. Here are some examples.

This notebook uses a convolutional neural network (CNN) model to detect deepfake images. The model is built using TensorFlow and Keras, and it aims to classify images as REAL or FAKE. Download and ...

Abstract: With the abomination of time-consuming or even impractical large-scale labeling, few-shot object detection (FSOD) based on natural scenes has attracted extensive attention. However, directly ...