IEEE

Progressive Learning of 3D Reconstruction Network From 2D GAN Data

Abstract: This paper presents a method to reconstruct high-quality textured 3D models from single images. Current methods rely on datasets with expensive annotations; multi-view images and their ...
Tech Xplore

An AI approach for single-image-based 3D character animation with preserved proportions

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
GitHub

Autonomous 3D positional control of a magnetic microrobot using reinforcement learning

For reproducibility in physical environment, as the code is directly linked to imaging system and Electromagnetic actuation system, it is not possible to run it as it is. However for simulation ...

The best things to do this weekend in San Diego: Jan. 9-11

Here are some of the best things to do this weekend in San Diego from Friday, Jan. 9 to Sunday, Jan. 11. Friday “Swing State” ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing

Abstract: The radio environment map (REM) visually displays the spectrum information over the geographical map and plays a significant role in monitoring, management, and security of spectrum ...