stable diffusion
An approach in generative modeling that captures the dynamics of the diffusion process, allowing the model to generate high-quality samples while maintaining stability during training.
- DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models
- Fast Data Attribution for Text-to-Image Models
- Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
- Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
- Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
- One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
- Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
- Solving Inverse Problems with FLAIR
- Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations