IEEE

Learning Visual-Inertial Odometry With Robocentric Iterated Extended Kalman Filter

Abstract: In recent years, deep learning methodologies have been increasingly applied to the intricate challenges of visual-inertial odometry (VIO), especially in scenarios with rapid movements and ...
GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...
MIT Technology Review

How I learned to stop worrying and love AI slop

Speaking with popular AI content creators convinces me that “slop” isn’t just the internet rotting in real time, but the ...
GitHub

SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations

This repository contains the official implementation code for SCAIL (Studio-Grade Character Animation via In-Context Learning), a framework that enables high-fidelity character animation under diverse ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...