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20182025
most citedDomain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

209 citations · 299 across the 24 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Z-STAR+: A Zero-shot Style Transfer Method via Adjusting Style Distribution

Yingying Deng, Xiangyu He, Fan Tang +1

Style transfer presents a significant challenge, primarily centered on identifying an appropriate style representation. Conventional methods employ style loss, derived from second-…

cs.CV2024

Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition

Yunbing Jia, Xiaoyu Kong, Fan Tang +3

In this paper, we reveal the two sides of data augmentation: enhancements in closed-set recognition correlate with a significant decrease in open-set recognition. Through empirical…

cs.CV2024

Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization

Yu Xu, Fan Tang, Juan Cao +5

Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-imag…

cs.SD2024

Music Style Transfer with Time-Varying Inversion of Diffusion Models

Sifei Li, Yuxin Zhang, Fan Tang +3

With the development of diffusion models, text-guided image style transfer has demonstrated high-quality controllable synthesis results. However, the utilization of text for divers…

cs.CV2024★ 1 cited

MotionCrafter: One-Shot Motion Customization of Diffusion Models

Yuxin Zhang, Fan Tang, Nisha Huang +4

The essence of a video lies in its dynamic motions, including character actions, object movements, and camera movements. While text-to-video generative diffusion models have recent…

cs.SD2024★ 2 cited

Dance-to-Music Generation with Encoder-based Textual Inversion

Sifei Li, Weiming Dong, Yuxin Zhang +5

The seamless integration of music with dance movements is essential for communicating the artistic intent of a dance piece. This alignment also significantly improves the immersive…

cs.CV2024★ 2 cited

CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion

Nisha Huang, Weiming Dong, Yuxin Zhang +6

Although remarkable progress has been made in image style transfer, style is just one of the components of artistic paintings. Directly transferring extracted style features to nat…