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Found 12 papers, 0 papers with code
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
These results demonstrate the efficacy of TextCenGen in creating more harmonious and integrated text-image compositions.
AACP: Aesthetics assessment of children's paintings based on self-supervised learning
To solve this problem, we construct an aesthetics assessment dataset of children's paintings and a model based on self-supervised learning.
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance
Additionally, we noticed that in-browser inference increases the time it takes for graphical user interface (GUI) components to load in web browsers by a significant 67. 2\%, which severely impacts the overall QoE for users of web applications that depend on this technology.
Dual Pipeline Style Transfer with Input Distribution Differentiation
The color and texture dual pipeline architecture (CTDP) suppresses texture representation and artifacts through masked total variation loss (Mtv), and further experiments have shown that smooth input can almost completely eliminate texture representation.
Region-controlled Style Transfer
This method guides the transfer strength of style features in different regions based on the gradient relationship between style and content images.
Color and Texture Dual Pipeline Lightweight Style Transfer
Style transfer methods typically generate a single stylized output of color and texture coupling for reference styles, and color transfer schemes may introduce distortion or artifacts when processing reference images with duplicate textures.
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations
Web applications are increasingly becoming the primary platform for AI service delivery, making in-browser deep learning (DL) inference more prominent.
AutoDroid: LLM-powered Task Automation in Android
Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones.
Lightweight texture transfer based on texture feature preset
This consistent input distribution can completely avoid the problem of texture transfer differentiation, and by randomly sampling different noise inputs, we can obtain different texture features and texture transfer results under the same reference style.
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments
Model elastification generates a high-quality search space of model architectures with the guidance of a developer-specified oracle model.
Turbo: Opportunistic Enhancement for Edge Video Analytics
Edge computing is being widely used for video analytics.
Multi-modal application: Image Memes Generation
An Internet meme commonly takes the form of an image and is created by combining a meme template (image) and a caption (natural language sentence).
