latent diffusion models
Generative models that apply diffusion processes to latent representations of data, enabling nuanced data generation capabilities while maintaining control over the output's characteristics through the latent space.
- Boosting Generative Image Modeling via Joint Image-Feature Synthesis
- GeoVideo: Introducing Geometric Regularization into Video Generation Model
- OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
- PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement
- Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion
- Promptable 3-D Object Localization with Latent Diffusion Models
- RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
- Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models
- StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
- VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption
- Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation