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
Dreamr: Diffusion-driven counterfactual explanation for functional mri
Deep learning analyses have offered sensitivity leaps in detection of cognition-related
variables from functional MRI (fMRI) measurements of brain responses. Yet, as deep models …
variables from functional MRI (fMRI) measurements of brain responses. Yet, as deep models …
Customizing text-to-image models with a single image pair
Art reinterpretation is the practice of creating a variation of a reference work, making a paired
artwork that exhibits a distinct artistic style. We ask if such an image pair can be used to …
artwork that exhibits a distinct artistic style. We ask if such an image pair can be used to …
Belm: Bidirectional explicit linear multi-step sampler for exact inversion in diffusion models
The inversion of diffusion model sampling, which aims to find the corresponding initial noise
of a sample, plays a critical role in various tasks. Recently, several heuristic exact inversion …
of a sample, plays a critical role in various tasks. Recently, several heuristic exact inversion …
Turboedit: Instant text-based image editing
We address the challenges of precise image inversion and disentangled image editing in
the context of few-step diffusion models. We introduce an encoder based iterative inversion …
the context of few-step diffusion models. We introduce an encoder based iterative inversion …
Monkey see, monkey do: Harnessing self-attention in motion diffusion for zero-shot motion transfer
Given the remarkable results of motion synthesis with diffusion models, a natural question
arises: how can we effectively leverage these models for motion editing? Existing diffusion …
arises: how can we effectively leverage these models for motion editing? Existing diffusion …
Turboedit: Text-based image editing using few-step diffusion models
Diffusion models have opened the path to a wide range of text-based image editing
frameworks. However, these typically build on the multi-step nature of the diffusion …
frameworks. However, these typically build on the multi-step nature of the diffusion …
Sg-i2v: Self-guided trajectory control in image-to-video generation
Methods for image-to-video generation have achieved impressive, photo-realistic quality.
However, adjusting specific elements in generated videos, such as object motion or camera …
However, adjusting specific elements in generated videos, such as object motion or camera …
Instantstyle-plus: Style transfer with content-preserving in text-to-image generation
Style transfer is an inventive process designed to create an image that maintains the
essence of the original while embracing the visual style of another. Although diffusion …
essence of the original while embracing the visual style of another. Although diffusion …
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
Subject-driven text-to-image generation aims to produce images of a new subject within a
desired context by accurately capturing both the visual characteristics of the subject and the …
desired context by accurately capturing both the visual characteristics of the subject and the …
Gradient-free Decoder Inversion in Latent Diffusion Models
In latent diffusion models (LDMs), denoising diffusion process efficiently takes place on
latent space whose dimension is lower than that of pixel space. Decoder is typically used to …
latent space whose dimension is lower than that of pixel space. Decoder is typically used to …