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 on video diffusion models
The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …
everywhere because of its ability to analyze and create text, images, and beyond. With such …
Identifying and mitigating vulnerabilities in llm-integrated applications
F Jiang - 2024 - search.proquest.com
Large language models (LLMs) are increasingly deployed as the backend for various
applications, including code completion tools and AI-powered search engines. Unlike …
applications, including code completion tools and AI-powered search engines. Unlike …
Align your latents: High-resolution video synthesis with latent diffusion models
Abstract Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding
excessive compute demands by training a diffusion model in a compressed lower …
excessive compute demands by training a diffusion model in a compressed lower …
Next-gpt: Any-to-any multimodal llm
While recently Multimodal Large Language Models (MM-LLMs) have made exciting strides,
they mostly fall prey to the limitation of only input-side multimodal understanding, without the …
they mostly fall prey to the limitation of only input-side multimodal understanding, without the …
Text2video-zero: Text-to-image diffusion models are zero-shot video generators
Recent text-to-video generation approaches rely on computationally heavy training and
require large-scale video datasets. In this paper, we introduce a new task, zero-shot text-to …
require large-scale video datasets. In this paper, we introduce a new task, zero-shot text-to …
Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing
Subject-driven text-to-image generation models create novel renditions of an input subject
based on text prompts. Existing models suffer from lengthy fine-tuning and difficulties …
based on text prompts. Existing models suffer from lengthy fine-tuning and difficulties …
Multimodal foundation models: From specialists to general-purpose assistants
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …
methods to data compression. Recent advances in statistical machine learning have opened …
Emergent correspondence from image diffusion
Finding correspondences between images is a fundamental problem in computer vision. In
this paper, we show that correspondence emerges in image diffusion models without any …
this paper, we show that correspondence emerges in image diffusion models without any …
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated
strong power of learning complex structures and meaningful semantics. However, relying …
strong power of learning complex structures and meaningful semantics. However, relying …