Code for "Abandon locality: Frame-wise Embedding Aided Transformer for Automatic Modulation Recognition"

[ICASSP 2023] Official repo for "AMC-Net: An Effective Network for Automatic Modulation Classification".

IQA: Deep Image Structure and Texture Similarity Metric

BokehMe: When Neural Rendering Meets Classical Rendering (CVPR 2022 Oral)

🥽 HoloBeam: Paper-Thin Near-Eye Displays

Source code of 'Holographic Parallax Improves 3D Perceptual Realism' (SIGGRAPH 2024)

DeepSig's dataset for Machine Learning of Software Defined Radio

Repository of clean Flash Player builds.

Pado: Pytorch Automatic Differentiable Optics

Optical Elements Addon for Blender

Libraries for draw.io

A pytorch implementation of Split-Lohmann Multifocal Displays wave-optics simulations.

A Pytorch Implementation of a continuously rate adjustable learned image compression framework.

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…

Code and data for Time-multiplexed Neural Holography | SIGGRAPH 2022

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

[Science Advances 2025] Motion Hologram: Jointly optimized hologram generation and motion planning for photorealistic 3D displays via reinforcement learning

Unofficial pytorch-lightning implement of Mip-NeRF

[CVPR'24 Best Student Paper] Mip-Splatting: Alias-free 3D Gaussian Splatting

Holotorch is an optimization framework for differentiable wave-propagation written in PyTorch

code for Real-Time High-Quality Computer-Generated Hologram Using Complex-Valued Convolutional Neural Network

PyTorch code for the CVPR'20 paper "Learning Better Lossless Compression Using Lossy Compression"

PyTorch Implementation of the CVPR'24 Paper "Learned Lossless Image Compression based on Bit Plane Slicing"

A collection of papers related to data compression

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

The goal of the library is to help with research in the area of data compression. This is not meant to be fast or efficient implementation, but rather for educational purpose