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20232026
most citedTowards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

2 citations · 3 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

Yichen Liu, Donghao Zhou, Jie Wang +9

Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generat…

cs.CV2025

Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story Generation

Ao Ma, Jiasong Feng, Ke Cao +4

Storytelling tasks involving generating consistent subjects have gained significant attention recently. However, existing methods, whether training-free or training-based, continue…

cs.CV2025

SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model

Zhanjie Zhang, Quanwei Zhang, Junsheng Luan +3

Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized image which preserves the content image's structure and possesses the style image…

cs.CV2025

DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank

Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +4

Artistic style transfer aims to transfer the learned style onto an arbitrary content image. However, most existing style transfer methods can only render consistent artistic styliz…

cs.CV2024

Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning

Zhanjie Zhang, Jiakai Sun, Guangyuan Li +7

Arbitrary style transfer holds widespread attention in research and boasts numerous practical applications. The existing methods, which either employ cross-attention to incorporate…

cs.CV2024★ 2 cited

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt

Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin +9

Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-ba…

cs.CV2023★ 1 cited

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank

Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +7

Artistic style transfer aims to repaint the content image with the learned artistic style. Existing artistic style transfer methods can be divided into two categories: small model-…