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Found 4 papers, 4 papers with code
Learned representation-guided diffusion models for large-image generation
Generating images from learned embeddings is agnostic to the source of the embeddings.
PathLDM: Text conditioned Latent Diffusion Model for Histopathology
To achieve high-quality results, diffusion models must be trained on large datasets.
Conditional Generation from Unconditional Diffusion Models using Denoiser Representations
Our approach provides a powerful and flexible way to adapt diffusion models to new conditions and generate high-quality augmented data for various conditional generation tasks.
CCTV-Gun: Benchmarking Handgun Detection in CCTV Images
In this paper, we present a meticulously crafted and annotated benchmark, called \textbf{CCTV-Gun}, which addresses the challenges of detecting handguns in real-world CCTV images.
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