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Found 6 papers, 1 papers with code
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models
In the decoder, we further modulate features from the dual streams based on a given content image and the corresponding style text prompt for precise style transfer.
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
The recent end-to-end neural solvers have shown promise for small-scale routing problems but suffered from limited real-time scaling-up performance.
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification
Few-shot image classification aims to classify images from unseen novel classes with few samples.
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
In particular, our method achieves 97. 07% and 90. 88% on 5-way 5-shot and 5-way 1-shot tasks of miniImageNet, which surpasses the state-of-the-art results with accuracy of 7. 27% and 8. 72%, respectively.
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models
Image cartoonization has attracted significant interest in the field of image generation.
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier
Then we compute a linear classifier based on the approximated sparse codes by an analysis mechanism to simultaneously consider the classification and representation powers.
