Research map / Image generation / Fast diffusion sampling
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models (ICLR 2025 · similarity 0.88)
- Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models (ICLR 2025 · similarity 0.87)
- Toward effective protection against diffusion-based mimicry through score distillation (ICLR 2024 · similarity 0.87)
- Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects (NeurIPS 2026 · similarity 0.86)
- PID: Prompt-Independent Data Protection Against Latent Diffusion Models (ICML 2024 · similarity 0.86)
- Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion (CVPR 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
