🧭 Learning layouts in Path of Exile with Vision Transformers: A proof of concept

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

Designed Dithering Sign Activation for Binary Neural Networks

Deep Plug-and-Play Algorithm for Unsaturated Imaging

A collection of deep learning based methods for HDR image synthesis

A curated list of awesome computer vision resources

A paper list for deep optics design.

colibri

Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

PyTorch library for solving imaging inverse problems using deep learning

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Convert spectral images to rgb images

A beautiful, simple, clean, and responsive Jekyll theme for academics

Deep Adaptive Superpixels for Hadamard Single Pixel Imaging in Near-Infrared Spectrum

Image restoration with neural networks but without learning.

Concise, consistent, and legible badges in SVG and raster format

This repo provides a the python code of the paper "Deep Coded Aperture Design: An End-to-EndApproach for Computational Imaging Tasks"

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Representation"

Deep Low-Dimensional Spectral Image Representation For Compressive Spectral Reconstruction

JR2net: A Joint Representation and Recovery Network for Compressive Spectral Imaging

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

A set of notebooks for an introduction to Python for Mathematicians.

Inspired by free-programming-books, here's free-science-books

📚 Freely available programming books