IEEE

Concealed Backdoor Attack on Diffusion Models for Smart Devices With Non-Standard Gaussian Distribution Noise

Abstract: Edge AI-driven diffusion models (DMs) are increasingly integrated into consumer devices for high-quality data generation and content creation. This paper introduces InvisibleDiffusion, a ...
IEEE

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection

Abstract: Out-of-distribution (OOD) detection, which aims to determine whether an input is outside the training data distribution or not, is an indispensable task in many computer vision applications.
GitHub

2D Gaussian Splatting for Geometrically Accurate Radiance Fields

Project page | Paper | Video | Surfel Rasterizer (CUDA) | Surfel Rasterizer (Python) | DTU+COLMAP (3.5GB) | SIBR Viewer Pre-built for Windows | Web Viewer This repo contains the official ...
GitHub

A minimal, portable Gaussian Splatting sandbox for rapid small-scale experimentation and performance insights in pure Python.

Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...
The New York Times

How to Read the Fed’s Projections Like a Pro

The forecasts will offer a glimpse of the path for policy at a highly uncertain moment for economy — and the central bank. By Colby Smith Federal Reserve officials are scheduled to release a fresh set ...