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
Inversion-based style transfer with diffusion models
The artistic style within a painting is the means of expression, which includes not only the
painting material, colors, and brushstrokes, but also the high-level attributes, including …
painting material, colors, and brushstrokes, but also the high-level attributes, including …
Arf: Artistic radiance fields
We present a method for transferring the artistic features of an arbitrary style image to a 3D
scene. Previous methods that perform 3D stylization on point clouds or meshes are sensitive …
scene. Previous methods that perform 3D stylization on point clouds or meshes are sensitive …
Adaattn: Revisit attention mechanism in arbitrary neural style transfer
Fast arbitrary neural style transfer has attracted widespread attention from academic,
industrial and art communities due to its flexibility in enabling various applications. Existing …
industrial and art communities due to its flexibility in enabling various applications. Existing …
Stytr2: Image style transfer with transformers
The goal of image style transfer is to render an image with artistic features guided by a style
reference while maintaining the original content. Owing to the locality in convolutional neural …
reference while maintaining the original content. Owing to the locality in convolutional neural …
Stylizednerf: consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning
Abstract 3D scene stylization aims at generating stylized images of the scene from arbitrary
novel views following a given set of style examples, while ensuring consistency when …
novel views following a given set of style examples, while ensuring consistency when …
Domain enhanced arbitrary image style transfer via contrastive learning
In this work, we tackle the challenging problem of arbitrary image style transfer using a novel
style feature representation learning method. A suitable style representation, as a key …
style feature representation learning method. A suitable style representation, as a key …
Ccpl: Contrastive coherence preserving loss for versatile style transfer
In this paper, we aim to devise a universally versatile style transfer method capable of
performing artistic, photo-realistic, and video style transfer jointly, without seeing videos …
performing artistic, photo-realistic, and video style transfer jointly, without seeing videos …
Snerf: stylized neural implicit representations for 3d scenes
T Nguyen-Phuoc, F Liu, L **ao - arxiv preprint arxiv:2207.02363, 2022 - arxiv.org
This paper presents a stylized novel view synthesis method. Applying state-of-the-art
stylization methods to novel views frame by frame often causes jittering artifacts due to the …
stylization methods to novel views frame by frame often causes jittering artifacts due to the …
Aespa-net: Aesthetic pattern-aware style transfer networks
To deliver the artistic expression of the target style, recent studies exploit the attention
mechanism owing to its ability to map the local patches of the style image to the …
mechanism owing to its ability to map the local patches of the style image to the …
Z*: Zero-shot style transfer via attention reweighting
Despite the remarkable progress in image style transfer formulating style in the context of art
is inherently subjective and challenging. In contrast to existing methods this study shows that …
is inherently subjective and challenging. In contrast to existing methods this study shows that …