Instantbooth: Personalized text-to-image generation without test-time finetuning
Recent advances in personalized image generation have enabled pre-trained text-to-image
models to learn new concepts from specific image sets. However these methods often …
models to learn new concepts from specific image sets. However these methods often …
Subject-diffusion: Open domain personalized text-to-image generation without test-time fine-tuning
Recent progress in personalized image generation using diffusion models has been
significant. However, development in the area of open-domain and test-time fine-tuning-free …
significant. However, development in the area of open-domain and test-time fine-tuning-free …
Advances in diffusion models for image data augmentation: A review of methods, models, evaluation metrics and future research directions
Image data augmentation constitutes a critical methodology in modern computer vision
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
tasks, since it can facilitate towards enhancing the diversity and quality of training datasets; …
Diffusion model-based image editing: A survey
Denoising diffusion models have emerged as a powerful tool for various image generation
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
and editing tasks, facilitating the synthesis of visual content in an unconditional or input …
Diffusion model-based video editing: A survey
The rapid development of diffusion models (DMs) has significantly advanced image and
video applications, making" what you want is what you see" a reality. Among these, video …
video applications, making" what you want is what you see" a reality. Among these, video …
When stylegan meets stable diffusion: a w+ adapter for personalized image generation
Text-to-image diffusion models have remarkably excelled in producing diverse high-quality
and photo-realistic images. This advancement has spurred a growing interest in …
and photo-realistic images. This advancement has spurred a growing interest in …
LLM4DyG: can large language models solve spatial-temporal problems on dynamic graphs?
In an era marked by the increasing adoption of Large Language Models (LLMs) for various
tasks, there is a growing focus on exploring LLMs' capabilities in handling web data …
tasks, there is a growing focus on exploring LLMs' capabilities in handling web data …
Ssr-encoder: Encoding selective subject representation for subject-driven generation
Recent advancements in subject-driven image generation have led to zero-shot generation
yet precise selection and focus on crucial subject representations remain challenging …
yet precise selection and focus on crucial subject representations remain challenging …
Proxedit: Improving tuning-free real image editing with proximal guidance
DDIM inversion has revealed the remarkable potential of real image editing within diffusion-
based methods. However, the accuracy of DDIM reconstruction degrades as larger classifier …
based methods. However, the accuracy of DDIM reconstruction degrades as larger classifier …
Curriculum co-disentangled representation learning across multiple environments for social recommendation
There exist complex patterns behind the decision-making processes of different individuals
across different environments. For instance, in a social recommender system, various user …
across different environments. For instance, in a social recommender system, various user …