4 citations · 8 across the 9 of their papers we have counts for
4 papers · 1 filter
Imagen 3
Imagen-Team-Google, :, Jason Baldridge +257
We introduce Imagen 3, a latent diffusion model that generates high quality images from text prompts. We describe our quality and responsibility evaluations. Imagen 3 is preferred…
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis
Emaad Khwaja, Abdullah Rashwan, Ting Chen +3
We present a one-shot text-to-image diffusion model that can generate high-resolution images from natural language descriptions. Our model employs a layered U-Net architecture that…
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
Yanting Miao, William Loh, Suraj Kothawade +3
Text-to-image generative models have recently attracted considerable interest, enabling the synthesis of high-quality images from textual prompts. However, these models often lack…
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
Shivang Chopra, Suraj Kothawade, Houda Aynaou +1
This paper introduces a novel approach to leverage the generalizability of Diffusion Models for Source-Free Domain Adaptation (DM-SFDA). Our proposed DMSFDA method involves fine-tu…