Cross fusion attention and frequency loss for image style transfer

CFA-GAN: Cross fusion attention and frequency loss for image style ...

We propose Cross-Fusion Attention (CFA) for image style transfer, addressing slow inference speed and loss of local details in GAN-based methods. •. Our ...

CFA-GAN: Cross fusion attention and frequency loss for image style...

Highlights•We propose Cross-Fusion Attention (CFA) for image style transfer, addressing slow inference speed and loss of local details in ...

CFA-GAN: Cross fusion attention and frequency loss for image style ...

Semantic Scholar extracted view of "CFA-GAN: Cross fusion attention and frequency loss for image style transfer" by Xiangtian Zheng et al.

Cross fusion attention and frequency loss for image style transfer

Bethge, Image style transfer using convolutional neural networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp.

Revision History for CFA-GAN: Cross fusion attention ... - OpenReview

Title: CFA-GAN: Cross fusion attention and frequency loss for image style transfer · Authors: Xiangtian Zheng, Xiaolin Yang, Qun Zhao, Hao Zhang, Xiufeng He, ...

CFA-GAN: Cross fusion attention and frequency loss for image style ...

Image style transfer is a significant challenge in computer vision, where the goal is to transfer the style of a reference image to a source image while ...

FISTNet: FusIon of STyle-path generative Networks for Facial ... - arXiv

StyleGAN, Style of fusions, GANs, Face Style Transfer, Style Transfer Networks ... Zhang, Cfa-gan: Cross fusion attention and frequency loss for image style ...

Multi-attention fusion transformer for single-image super-resolution

HFE enhances the network's high-frequency feature extraction capability without adding computational cost. (3). We combine Transformers with CNN ...

Contrastive Coherence Preserving Loss for Versatile Style Transfer

CFA-GAN: Cross Fusion Attention and frequency loss for image style transfer. Article. Nov 2023; DISPLAYS. Xiangtian Zheng · Xiaolin ...

Feature Fusion Image Dehazing Network Based on Hybrid Parallel ...

Perceptual loss is a loss function commonly used in deep learning-based image-style transfer methods. ... loss function, perceptual loss pays more attention ...

High-resolution enhanced cross-subspace fusion network for light ...

... image super-resolution. Displays, 2024. CFA-GAN: Cross fusion attention and frequency loss for image style transfer. Displays, 2023. Progressive spatial-angular ...

Interactive residual coordinate attention and contrastive learning for ...

... attention and contrastive learning for infrared and visible image fusion in triple frequency bands ... transfer image fusion into a multi ...

Paper Digest: Recent Papers on Style Transfer

CFA-GAN: Cross Fusion Attention and Frequency Loss for Image Style Transfer · Related Papers Related Patents Related Grants Related Venues ...

Panoramic image style transfer technology based on multi-attention ...

Request PDF | On Dec 20, 2022, Xin Xiang and others published Panoramic image style transfer technology based on multi-attention fusion | Find, ...

Music Style Transfer with Time-Varying Inversion of Diffusion Models

Riffusion (Forsgren and Martiros 2022) exploits the image characteristics of mel-spectrograms and fine-tunes stable diffusion models on a small- ...

satellite-image-deep-learning/techniques - GitHub

Remote Sensing Image Classification via Improved Cross-Entropy Loss and Transfer Learning Strategy Based on Deep Convolutional Neural Networks · DenseNet40 ...

Explicitly Color-Inspired Neural Style Transfer Using Patchified AdaIN

Federated domain generalization for image recognition via cross-client style transfer ... CFA-GAN: cross fusion attention and frequency loss for image style ...

Frequency-Aware Attention and Flow Fusion for Human Pose Transfer

Focal Frequency Loss for Image Reconstruction and Synthe- sis. In ... Cross Attention Based Style Distribution for Controllable Person Image Synthesis ...

Multi-focused image fusion algorithm based on multi-scale hybrid ...

... transfer learning, to further enhance the results of multi-focus image fusion. Moreover, several new loss functions have emerged, such as hybrid loss ...

Multi-Window Fusion Spatial-Frequency Joint Self-Attention ... - MDPI

... Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution. In Proceedings of the 2019 IEEE/CVF International ...