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MoBluRF: A framework for creating sharp 4D reconstructions from blurry videos

Neural Radiance Fields (NeRF) is a machine learning technique that can create 3D reconstructions of a scene from 2D images ...
IEEE

3D Shape Classification by Registration: Neural-Network-Free and Training-Free

Abstract: Point cloud classification, crucial for discriminative 3D shape analysis, has witnessed significant progress through the application of deep learning. A significant research focus has been ...
GitHub

NeuralBot - Neural Network Aimbot

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
C&EN

3D Spatial Learning for Adsorption Energy Prediction in Multi-Temporal Solution Systems: The MTSS Data Set and a GCN-Based Network

Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, People’s Republic of China ...
IEEE

Spatial Coordinate Transformation for 3D Neural Implicit Mapping

Abstract: Implicit Neural Representation (INR)-based SLAM has a critical issue where all keyframes must be stored in memory for post-training whenever a remapping is needed due to the neural network's ...
GitHub

Simple Neural Network Models

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...