Papers Efficient Diffusion Personalization
“Efficient Diffusion Personalization” 태그가 달린 논문 5편 · 필터 해제
IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
The stories and characters that captivate us as we grow up shape unique fantasy worlds, with images serving as the primary medium for visually experiencing these realms. Personalizing generative models through fine-tunin…
Diffusion PersonalizationDiffusion Personalization Tuning FreeEfficient Diffusion PersonalizationImage Generation+4VisioBlend: Sketch and Stroke-Guided Denoising Diffusion Probabilistic Model for Realistic Image Generation
Generating images from hand-drawings is a crucial and fundamental task in content creation. The translation is challenging due to the infinite possibilities and the diverse expectations of users. However, traditional met…
DenoisingEfficient Diffusion PersonalizationImage GenerationDiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Diffusion models have proven to be highly effective in generating high-quality images. However, adapting large pre-trained diffusion models to new domains remains an open challenge, which is critical for real-world appli…
Efficient Diffusion Personalizationparameter-efficient fine-tuningA Closer Look at Parameter-Efficient Tuning in Diffusion Models
Large-scale diffusion models like Stable Diffusion are powerful and find various real-world applications while customizing such models by fine-tuning is both memory and time inefficient. Motivated by the recent progress …
Efficient Diffusion PersonalizationPositionSVDiff: Compact Parameter Space for Diffusion Fine-Tuning
Diffusion models have achieved remarkable success in text-to-image generation, enabling the creation of high-quality images from text prompts or other modalities. However, existing methods for customizing these models ar…
Data AugmentationDiffusion PersonalizationEfficient Diffusion PersonalizationImage Generation+3