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Found 5 papers, 2 papers with code
FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 Classes
The class-conditional image generation based on diffusion models is renowned for generating high-quality and diverse images.
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.
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
However, current MLLM benchmarks are predominantly designed to evaluate reasoning based on static information about a single image, and the ability of modern MLLMs to extrapolate from image sequences, which is essential for understanding our ever-changing world, has been less investigated.
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.
