Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
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 …
Inversion-free image editing with natural language
Despite recent advances in inversion-based editing, text-guided image manipulation
remains challenging for diffusion models. The primary bottlenecks include 1) the time …
remains challenging for diffusion models. The primary bottlenecks include 1) the time …
Scedit: Efficient and controllable image diffusion generation via skip connection editing
Image diffusion models have been utilized in various tasks such as text-to-image generation
and controllable image synthesis. Recent research has introduced tuning methods that …
and controllable image synthesis. Recent research has introduced tuning methods that …
Inversion-free image editing with language-guided diffusion models
Despite recent advances in inversion-based editing text-guided image manipulation
remains challenging for diffusion models. The primary bottlenecks include 1) the time …
remains challenging for diffusion models. The primary bottlenecks include 1) the time …
Smoodi: Stylized motion diffusion model
We introduce a novel Stylized Motion Diffusion model, dubbed SMooDi, to generate stylized
motion driven by content texts and style motion sequences. Unlike existing methods that …
motion driven by content texts and style motion sequences. Unlike existing methods that …
Efficient diffusion models: A comprehensive survey from principles to practices
Z Ma, Y Zhang, G Jia, L Zhao, Y Ma, M Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
As one of the most popular and sought-after generative models in the recent years, diffusion
models have sparked the interests of many researchers and steadily shown excellent …
models have sparked the interests of many researchers and steadily shown excellent …
Replication in visual diffusion models: A survey and outlook
Visual diffusion models have revolutionized the field of creative AI, producing high-quality
and diverse content. However, they inevitably memorize training images or videos …
and diverse content. However, they inevitably memorize training images or videos …
Unictrl: Improving the spatiotemporal consistency of text-to-video diffusion models via training-free unified attention control
Video Diffusion Models have been developed for video generation, usually integrating text
and image conditioning to enhance control over the generated content. Despite the …
and image conditioning to enhance control over the generated content. Despite the …