Diffstyler: Controllable dual diffusion for text-driven image stylization
Despite the impressive results of arbitrary image-guided style transfer methods, text-driven
image stylization has recently been proposed for transferring a natural image into a stylized …
image stylization has recently been proposed for transferring a natural image into a stylized …
Prospect: Prompt spectrum for attribute-aware personalization of diffusion models
Personalizing generative models offers a way to guide image generation with user-provided
references. Current personalization methods can invert an object or concept into the textual …
references. Current personalization methods can invert an object or concept into the textual …
Multi-granularity siamese transformer-based change detection in remote sensing imagery
Abstract In recent years, Convolutional Neural Networks (CNNs) have promoted the
prosperity of Change Detection (CD). However, due to the intrinsic property of convolution …
prosperity of Change Detection (CD). However, due to the intrinsic property of convolution …
HAIGEN: towards human-AI collaboration for facilitating creativity and style generation in fashion design
The process of fashion design usually involves sketching, refining, and coloring, with
designers drawing inspiration from various images to fuel their creative endeavors …
designers drawing inspiration from various images to fuel their creative endeavors …
AI-Enhanced Digital Creativity Design: Content-Style Alignment for Image Stylization
L Yu, Q Zheng - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents an AI (Artificial Intelligence)-powered method for enhancing digital
creative design through image stylization. To achieve this, we introduce the Content-Style …
creative design through image stylization. To achieve this, we introduce the Content-Style …
Style-a-video: Agile diffusion for arbitrary text-based video style transfer
Large-scale text-to-video diffusion models have shown outstanding capabilities. However,
their direct application to video stylization is hindered by the limited availability of text-to …
their direct application to video stylization is hindered by the limited availability of text-to …
Evaluation in neural style transfer: A review
The field of neural style transfer (NST) has witnessed remarkable progress in the past few
years, with approaches being able to synthesize artistic and photorealistic images and …
years, with approaches being able to synthesize artistic and photorealistic images and …
Artist: Aesthetically controllable text-driven stylization without training
Diffusion models entangle content and style generation during the denoising process,
leading to undesired content modification when directly applied to stylization tasks. Existing …
leading to undesired content modification when directly applied to stylization tasks. Existing …
Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer
Arbitrary style transfer aims to render artistic features from a style reference onto an image
while retaining its original content. Previous methods either focus on learning the holistic …
while retaining its original content. Previous methods either focus on learning the holistic …
Flow style-aware network for arbitrary style transfer
Z Hu, B Ge, C **a, W Wu, G Zhou, B Wang - Computers & Graphics, 2024 - Elsevier
Researchers have recently proposed arbitrary style transfer methods based on various
model frameworks. Although all of them have achieved good results, they still face the …
model frameworks. Although all of them have achieved good results, they still face the …