Pristine Models
cs.CV, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Sources
- Building Normalizing Flows with Stochastic Interpolants
- Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
- Toy Models of Superposition
- Training Data Protection with Compositional Diffusion Models
- Flow Matching for Generative Modeling
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- Fast Model Editing at Scale
- Modular Pretraining Enables Access Control
- The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric
- Qwen-Image Technical Report
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