Latent Dataset Distillation with Diffusion Models: Enhancing Image Generation
The author proposes Latent Dataset Distillation with Diffusion Models (LD3M) to improve dataset distillation by leveraging diffusion models for high-resolution image generation. LD3M outperforms state-of-the-art techniques, offering faster distillation and higher accuracy.
Dataset Distillation using Diffusion Models for Efficient Data Compression
The author introduces Dataset Distillation using Diffusion Models (D3M) as a novel paradigm for dataset distillation, leveraging generative text-to-image models to efficiently compress large datasets while maintaining competitive performance. By condensing an entire category of images into a single prompt, D3M showcases powerful dataset compression capabilities.
Latent Dataset Distillation with Diffusion Models: Enhancing Image Generation
Latent Dataset Distillation with Diffusion Models (LD3M) improves image generation by leveraging diffusion models for dataset distillation.
