Tech Xplore

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
IEEE

EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization

Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...
GitHub

Pusa: Thousands Timesteps Video Diffusion Model

Text-to-Video, Image-to-Video, Start-End Frames, Video Completion, Video Extension, Video Transition, and more.... Below are some showcases for Pusa-Wan2.2-V1. Please refer to Pusa V1.0 README for ...
marktechpost

Meta AI Open-Sourced Perception Encoder Audiovisual (PE-AV): The Audiovisual Encoder Powering SAM Audio And Large Scale Multimodal Retrieval

Perception Encoder, PE, is the core vision stack in Meta’s Perception Models project. It is a family of encoders for images, video, and audio that reaches state of the art on many vision and audio ...
GitHub

Core ML Stable Diffusion

iPhone 12 Mini CPU_AND_NE SPLIT_EINSUM_V2 20 1.3 iPhone 12 Pro Max CPU_AND_NE SPLIT_EINSUM_V2 17 1.4 iPhone 13 CPU_AND_NE SPLIT_EINSUM_V2 15 1.7 iPhone 13 Pro Max CPU_AND_NE SPLIT_EINSUM_V2 12 1.8 ...
marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
IEEE

High-Resolution Aerial Image Restoration with Latent Diffusion Models

Abstract: This paper aims to improve the performance of diffusion models in high-resolution unmanned aerial vehicle (UAV) aerial image restoration tasks. We propose an efficient image restoration ...