Diffusion model-based image editing: A survey

Y Huang, J Huang, Y Liu, M Yan, J Lv, J Liu… - ar** methods mainly rely on GAN frameworks, but
recent focus has shifted to pre-trained diffusion models for their superior generation …

Efficient diffusion models: A comprehensive survey from principles to practices

Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - ar** in personalized visual editing
J Gu, N Zhao, W **ong, Q Liu, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
Effective editing of personal content holds a pivotal role in enabling individuals to express
their creativity, weaving captivating narratives within their visual stories, and elevate the …

Source prompt disentangled inversion for boosting image editability with diffusion models

R Li, R Li, S Guo, L Zhang - European Conference on Computer Vision, 2024 - Springer
Text-driven diffusion models have significantly advanced the image editing performance by
using text prompts as inputs. One crucial step in text-driven image editing is to invert the …

Dreamedit: Subject-driven image editing

T Li, M Ku, C Wei, W Chen - arxiv preprint arxiv:2306.12624, 2023 - arxiv.org
Subject-driven image generation aims at generating images containing customized
subjects, which has recently drawn enormous attention from the research community …