Search Results for author:
Found 3 papers, 1 papers with code
Understanding the Impact of Negative Prompts: When and How Do They Take Effect?
The concept of negative prompts, emerging from conditional generation models like Stable Diffusion, allows users to specify what to exclude from the generated images.%, demonstrating significant practical efficacy.
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
We identify these patches by analyzing the dispersion of object bounding boxes across generated images, leading to the development of a posterior analysis technique.
Pre-trained Adversarial Perturbations
Self-supervised pre-training has drawn increasing attention in recent years due to its superior performance on numerous downstream tasks after fine-tuning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
