Search Results for author:
Found 4 papers, 1 papers with code
Complex Style Image Transformations for Domain Generalization in Medical Images
Input-level augmentation can provide a solution to this problem by widening the domain space in the source dataset and boost performance on out-of-domain distributions.
Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis
Automatic affect analysis, at the intersection of physiology, psychology, and machine learning, has seen significant development.
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models
Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding text-prompts.
Mitigating Exposure Bias in Discriminator Guided Diffusion Models
Diffusion Models have demonstrated remarkable performance in image generation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
