GitHub

Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous ...

Generative diffusion models for end-to-end autonomous driving often suffer from mode collapse, tending to generate conservative and homogeneous behaviors. While DiffusionDrive employs predefined ...
IEEE

A Diffusion Model and Few-Shot Learning Framework for EEG Abnormality Classification and ...

Abstract: Deep learning has shown great potential in assisting medical experts in diagnosing cerebral infarction through electroencephalogram (EEG) analysis. Classifying EEG abnormality levels is a ...
IEEE

Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification ...

Abstract: Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hyperspectral image classification (HSIC). Although most methodologies extend features in the ...
GitHub

Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary ...

This repository is the official PyTorch implementation of the ICCV 2025 (Highlight) paper: Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic ...
VentureBeat

NYU’s new AI architecture makes high-quality image generation faster and cheaper

Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with ...
Game Rant

New PS5 Model Features Big Visual Change

Viraaj is a spirited gamer, lifelong PlayStation main, huge petrolhead, but most importantly, a principled journalist. With experience at publications like FandomWire, HotCars, and DriveTribe, writing ...