Diffusion model-based image editing: A survey
A Survey of Multimodal-Guided Image Editing with Text-to-Image Diffusion Models
Image editing aims to edit the given synthetic or real image to meet the specific requirements
from users. It is widely studied in recent years as a promising and challenging field of …
from users. It is widely studied in recent years as a promising and challenging field of …
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
The distributionally robust optimization (DRO)-based graph neural network methods
improve recommendation systems' out-of-distribution (OOD) generalization by optimizing the …
improve recommendation systems' out-of-distribution (OOD) generalization by optimizing the …
Uncovering Vision Modality Threats in Image-to-Image Tasks
Current image generation models can effortlessly produce high-quality, highly realistic
images, but this also increases the risk of misuse. In various Text-to-Image or Image-to …
images, but this also increases the risk of misuse. In various Text-to-Image or Image-to …
Exploring the latent space of diffusion models directly through singular value decomposition
L Wang, B Gao, Y Li, Z Wang, X Yang… - arxiv preprint arxiv …, 2025 - arxiv.org
Despite the groundbreaking success of diffusion models in generating high-fidelity images,
their latent space remains relatively under-explored, even though it holds significant promise …
their latent space remains relatively under-explored, even though it holds significant promise …