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Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.
In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.
Interactive Style Transfer GUI - a system that pioneers the integration of neural style transfer with precise localization for a fully customizable artistic experience.
A real-time image style transfer project based on AdaIn and VGG network , python flask as frontend and HTML5 as backend , project of AI Introduction, a course of Peking Unicersity
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).